CINXE.COM
Biostatistics (BIOSTAT) | UC San Francisco
<!doctype html> <html class="no-js" xml:lang="en" lang="en" dir="ltr"> <head> <meta http-equiv="X-UA-Compatible" content="IE=Edge" /> <title>Biostatistics (BIOSTAT) | UC San Francisco</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="search" type="application/opensearchdescription+xml" href="/search/opensearch.xml" title="Catalog" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0" /> <link href="/images/favicon.ico" rel="shortcut icon" /> <link rel="stylesheet" type="text/css" href="/css/reset.css" /> <link href="https://fonts.googleapis.com/css?family=Roboto:400,400i,500,500i,700,700i" rel="stylesheet"> <link rel="stylesheet" type="text/css" href="/fonts/font-awesome/font-awesome.min.css" /> <link rel="stylesheet" type="text/css" href="/css/courseleaf.css" /> <link rel="stylesheet" type="text/css" href="/css/screen.css?v=2024-2025" media="screen" /> <link rel="stylesheet" type="text/css" href="/css/print.css" media="print" /> <script type="text/javascript" src="/js/jquery.js"></script> <script type="text/javascript" src="/js/lfjs.js"></script> <script type="text/javascript" src="/js/lfjs_any.js"></script> <link rel="stylesheet" type="text/css" href="/js/lfjs.css" /> <script type="text/javascript" src="/js/courseleaf.js"></script> <script type="text/javascript" src="/js/custom.js?v=2024-2025"></script> </head> <body class=""> <nav aria-label="Skip content menu" class="accessible"> <div class="accessible-menu"> <ul> <li><a href="#contentarea" rel="section">Skip to Content</a></li> <li><a href="/azindex/">AZ Index</a></li> <li><a href="/">Catalog Home</a></li> </ul> </div> </nav> <header id="header"> <section class="header-universal"> <div class="wrap"> <p class="header-universal__title">University of California San Francisco</p> <a class="header-universal__give" href="https://giving.ucsf.edu/">Give to UCSF</a> </div> </section> <section class="header-main"> <div class="wrap"> <h1 id="site-title"><a href="/" rel="home">General Catalog</a></h1> <div class="mobile-toggles"> <button type="button" class="toggle-search" aria-controls="cat-search" aria-expanded="false" data-toggle="#cat-search"> <span class="sr-only">toggle search</span> <span class="toggle-search__icon" aria-hidden="true"></span> </button> <button id="hamburger" aria-controls="navigation" data-toggle="#navigation" aria-expanded="false"> <span class="sr-only">Toggle menu</span> <span class="burgertime" aria-hidden="true"> <span class="icon"></span> </span> </button> </div> <nav id="navigation" aria-label="Secondary" aria-hidden="false"> <ul id="main-nav" class="top clearfix"> <li class="isparent"> <button type="button">Courses</button> <ul> <li><a href="/course-catalog/">Course Listings</a></li> <li><a href="/course-search/">Search Courses</a></li> </ul> </li> <li><a href="/programs/">Academic Programs</a></li> <li class="isparent"> <button type="button">Schools and Programs</button> <ul> <li><a href="/schools/school-dentistry/">School of Dentistry</a></li> <li><a href="/schools/school-medicine/">School of Medicine</a></li> <li><a href="/schools/school-nursing/">School of Nursing</a></li> <li><a href="/schools/school-pharmacy/">School of Pharmacy</a></li> <li><a href="/schools/graduate-division/">Graduate Division</a></li> <li><a href="/schools/institute-global-health-sciences/">Institute for Global Health Sciences</a></li> </ul> </li> <li><a href="/university/">University Support Offices</a></li> <li><a href="/archive/">Archive</a></li> <li class="no-mobile"> <button type="button" class="toggle-search" aria-controls="cat-search" aria-expanded="false" data-toggle="#cat-search"> <span class="sr-only">open search</span> <span class="toggle-search__icon" aria-hidden="true"></span> </button> </li> </ul> <a class="header-main__give" href="https://giving.ucsf.edu/">Give to UCSF</a> </nav> <div class="search" id="cat-search"> <form action="/search/"> <label for="cat-search-term" class="sr-only">Search catalog</label> <input class="search-field" type="text" name="search" id="cat-search-term" placeholder="Search catalog..." /> <button class="search-button" type="submit"> <span class="sr-only">Submit search</span> </button> <!-- <input type="hidden" name="caturl" value="/course-catalog" /> --> </form> </div> </div> </section> </header> <section id="content-container"> <div class="wrap"> <div id="col-content"> <nav id="breadcrumb" aria-label="Breadcrumbs"> <ul><li><a href="/">Home</a><span class="crumbsep">></span></li><li><a href="/course-catalog/">Course Catalog</a><span class="crumbsep">></span></li><li><span class="active">Biostatistics (BIOSTAT)</span></li></ul> </nav> <main id="contentarea"> <header> <h1 class="page-title">Biostatistics (BIOSTAT)</h1> </header> <div id="textcontainer" class="page_content"> <div class="sc_sccoursedescs"> <div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 200</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Biostatistical Methods in Clinical Research I</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(3 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Fall</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Ali Mirzazadeh</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Ali Mirzazadeh</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>None</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Project, Lab skills</p></div><div class="noindent"><p class="courseblockextra">Course is an introduction to the study of biostatistics. Course addresses types of data, their summarization, exploration and explanation, as well as concepts of probability and their role in explaining uncertainty. Course concludes with coverage of inference applied to means, proportions, regression coefficients and contingency tables. Throughout the course, the software program STATA will be used.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+200">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 202</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Opportunities and challenges of complex biomedical data</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(3 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Summer</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Karla Lindquist</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Karla Lindquist</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>None</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Project, Lab skills</p></div><div class="noindent"><p class="courseblockextra">This is an introduction to the opportunities and challenges of using large datasets for biomedical research. Topics to be covered include: What makes big data different? What big data can and cannot do. Phases of data science: getting data, merging and cleaning data, storing and accessing data, visualizing or telling stories with data, drawing conclusions from data. Introduction to supervised and unsupervised machine learning including detailed discussion of algorithms and model fitting.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+202">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 208</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Biostatistical Methods II</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(3 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Winter</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Aaron Scheffler</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Aaron Scheffler</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span><a href="/search/?P=EPIDEMIOL%20202" title="EPIDEMIOL聽202" class="bubblelink code" onclick="return showCourse(this, 'EPIDEMIOL 202');">EPIDEMIOL聽202</a>, <a href="/search/?P=BIOSTAT%20200" title="BIOSTAT聽200" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 200');">BIOSTAT聽200</a>. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture</p></div><div class="noindent"><p class="courseblockextra">Instruction in multiple predictor analyses as a tool for control of confounding and for constructing predictive models. Topics will include exploratory data analyses, linear regression, and logistic regression. The STATA statistical package will be used.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+208">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 209</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Biostatistical Methods III</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(3 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Spring</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Chiung-Yu Huang</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Chiung-Yu Huang</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span><a href="/search/?P=EPIDEMIOL%20202" title="EPIDEMIOL聽202" class="bubblelink code" onclick="return showCourse(this, 'EPIDEMIOL 202');">EPIDEMIOL聽202</a>, <a href="/search/?P=BIOSTAT%20208" title="BIOSTAT聽208" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 208');">BIOSTAT聽208</a>. Possession of a graduate or professional doctoral degree (MD, PhD, DDS, PharmD, or international equivalent), currently enrolled in an undergraduate, graduate, or professional school, or relevant work experience. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Project, Lab science</p></div><div class="noindent"><p class="courseblockextra">Advanced instruction in multiple predictor analyses. Topics will include survival analysis and regression for repeated measures. In the final weeks of the course, participants will receive individualized instruction for the analysis of their own data.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+209">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 210</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Biostatistical Methods IV</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(2 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Fall</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Dave Glidden</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Dave Glidden</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>Possession of MD, PhD, DDS, or PharmD degree, and <a href="/search/?P=EPIDEMIOL%20202" title="EPIDEMIOL聽202" class="bubblelink code" onclick="return showCourse(this, 'EPIDEMIOL 202');">EPIDEMIOL聽202</a> and <a href="/search/?P=BIOSTAT%20208" title="BIOSTAT聽208" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 208');">BIOSTAT聽208</a> and <a href="/search/?P=BIOSTAT%20209" title="BIOSTAT聽209" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 209');">BIOSTAT聽209</a>. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture</p></div><div class="noindent"><p class="courseblockextra">This is a continuation of the Biostatistical Methods in Clinical Research series, covering additional methods in multi-predictor analyses and allowing more in-depth exploration of the topics covered in Biostat I (BIOSTAT 183), II (<a href="/search/?P=BIOSTAT%20208" title="BIOSTAT聽208" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 208');">BIOSTAT聽208</a>) and III (<a href="/search/?P=BIOSTAT%20209" title="BIOSTAT聽209" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 209');">BIOSTAT聽209</a>). Topics in survival analysis and longitudinal analysis will be emphasized and students are also encouraged to utilize their own projects to motivate discussion and to suggest topics of interest.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+210">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 211</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Mathematical Foundations of Biostatistics</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(2 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Winter</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Fei Jiang</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Fei Jiang</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>Calculus is a prerequisite for this class. For example, students must understand integration and derivatives. A previous or concurrent course in introductory biostatistics is preferred, <a href="/search/?P=BIOSTAT%20200" title="BIOSTAT聽200" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 200');">BIOSTAT聽200</a></p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Epidemiology and Translational Science PhD program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture</p></div><div class="noindent"><p class="courseblockextra">The goal of this course is to equip students with core statistical concepts and methods. In this course students will learn mathematical, computational, statistical and probabilistic background; the basics of probability distributions including the definitions of density functions, cumulative distributions, moments of the distributions; theory and methods for point estimation; and methodology for the construction of hypothesis testing and confidence intervals. R statistical software will be used</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Epidemiology And Translational Sciences Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Epidemiology And Translational Sciences Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+211">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 212</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Introduction to Statistical Computing in Clinical Research</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(1 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Summer</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Aida Venado Estrada</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Aida Venado Estrada</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>EPIDEMIOL 180.04 and possession of a MD, PhD, DDS or PharmD or equivalent doctoral degree. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted. Preference is given to UCSF-affiliated personnel.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture</p></div><div class="noindent"><p class="courseblockextra">This course will introduce clinical researchers to the use of computer software for managing and analyzing clinical research data. Currently available statistical packages will be described and the roles of spreadsheet and relational database programs discussed. Use of STATA for managing, cleaning, describing, and analyzing data will be taught in lecture and laboratory sessions.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? No</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>No</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+212">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 213</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Programming for Health Data Science in R</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(2 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Summer</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> <span style="display:inline-block;"><a href="#" onclick="lfjs.bubble(this,(this.nextSibling||{}).innerHTML||'No other Courses',{width:bubblewidth}); return false;">Stathis Gennatas</a><span style="display:none;"><span class="label"><b>Stathis Gennatas also teaches:</b></span> <a href="/search/?P=BIOSTAT%20214" title="BIOSTAT聽214" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 214');">BIOSTAT聽214</a></span></span></span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Stathis Gennatas</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>No prior programming experience is required.</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) and Health Data Science Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Lab science</p></div><div class="noindent"><p class="courseblockextra">Vast amounts of health-related data are being generated daily and at an increasing rate. Our ability to extract insights and make the most of these resources depends on the effective and efficient use of computational tools to preprocess, visualize, and analyze different types of data. <a href="/search/?P=BIOSTAT%20213" title="BIOSTAT聽213" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 213');">BIOSTAT聽213</a> is an introductory programming course which aims to provide hands-on experience in the R language and enable further work in biostatistics, epidemiology, and machine learning/health data science.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+213">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 214</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Programming for Health Data Science in R II</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(2-3 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Fall</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> <span style="display:inline-block;"><a href="#" onclick="lfjs.bubble(this,(this.nextSibling||{}).innerHTML||'No other Courses',{width:bubblewidth}); return false;">Stathis Gennatas</a><span style="display:none;"><span class="label"><b>Stathis Gennatas also teaches:</b></span> <a href="/search/?P=BIOSTAT%20213" title="BIOSTAT聽213" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 213');">BIOSTAT聽213</a></span></span>, <span style="display:inline-block;"><a href="#" onclick="lfjs.bubble(this,(this.nextSibling||{}).innerHTML||'No other Courses',{width:bubblewidth}); return false;">John Kornak</a><span style="display:none;"><span class="label"><b>John Kornak also teaches:</b></span> <a href="/search/?P=DATASCI%20222" title="DATASCI聽222" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 222');">DATASCI聽222</a>, <a href="/search/?P=DATASCI%20220" title="DATASCI聽220" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 220');">DATASCI聽220</a>, <a href="/search/?P=DATASCI%20221" title="DATASCI聽221" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 221');">DATASCI聽221</a>, <a href="/search/?P=DATASCI%20223" title="DATASCI聽223" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 223');">DATASCI聽223</a>, <a href="/search/?P=DATASCI%20217" title="DATASCI聽217" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 217');">DATASCI聽217</a></span></span></span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Stathis Gennatas, John Kornak</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span><a href="/search/?P=BIOSTAT%20213" title="BIOSTAT聽213" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 213');">BIOSTAT聽213</a> or equivalent.</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This is a core course of the Health Data Science (HDS) program and part of the Training in Clinical Research Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Lab skills</p></div><div class="noindent"><p class="courseblockextra">R programming course to enable work in any field including biostatistics, epidemiology, data science/machine learning. This course builds on students prerequisite core R language knowledge to cover skills in advanced data transformations, visualization, working with big (in-memory) data, report-writing, and core statistic testing.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+214">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 215</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Strengthening causal inferences based on observational data</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(3 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Spring</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Thomas Newman</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Thomas Newman</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span><a href="/search/?P=EPIDEMIOL%20203" title="EPIDEMIOL聽203" class="bubblelink code" onclick="return showCourse(this, 'EPIDEMIOL 203');">EPIDEMIOL聽203</a>, <a href="/search/?P=BIOSTAT%20208" title="BIOSTAT聽208" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 208');">BIOSTAT聽208</a>, and <a href="/search/?P=BIOSTAT%20209" title="BIOSTAT聽209" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 209');">BIOSTAT聽209</a> (may be enrolled concurrently). Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Lab skills, Discussion</p></div><div class="noindent"><p class="courseblockextra">The course will define causal effects in terms of potential outcomes, show when standard regression methods do and do not support causal inferences, and show how to estimate and interpret marginal and conditional causal effects. It will also cover propensity scores, inverse probability weighting, marginal structural models (for time-dependent treatments with time-dependent confounder/mediators), mediation analysis, new-user designs, instrumental variables, and principal stratification.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+215">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 216</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Machine Learning in R for the Biomedical Sciences</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(3 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Winter</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Adam Olshen</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Adam Olshen</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span><a href="/search/?P=BIOSTAT%20208" title="BIOSTAT聽208" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 208');">BIOSTAT聽208</a>, <a href="/search/?P=BIOSTAT%20213" title="BIOSTAT聽213" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 213');">BIOSTAT聽213</a> & <a href="/search/?P=BIOSTAT%20209" title="BIOSTAT聽209" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 209');">BIOSTAT聽209</a>. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting. Strongly recommended: <a href="/search/?P=EPIDEMIOL%20204" title="EPIDEMIOL聽204" class="bubblelink code" onclick="return showCourse(this, 'EPIDEMIOL 204');">EPIDEMIOL聽204</a> & <a href="/search/?P=BIOSTAT%20202" title="BIOSTAT聽202" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 202');">BIOSTAT聽202</a></p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>This course is part of the Training in Clinical Research (TICR) Program and may have space limitations. Auditing is not permitted.</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Project</p></div><div class="noindent"><p class="courseblockextra">This is a course that covers machine learning methods as they apply to areas of biomedical research and will teach how to implement the methods in R. Topics to be covered include: What is Machine learning? Prediction techniques (including classification) and methods for assessing them, Cross-validation, penalized regression methods such as lasso, boosting, bagging and ensemble methods, pattern recognition, deep learning, and data reduction methods, and machine learning meta packages in R.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Clinical and Epidemiological Research Program</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Clinical and Epidemiological Research Program</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+216">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 272</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Foundations in Biostatistical Principles and Methods</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(4 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Fall</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> Patrick Phillips, Suzanne Dufault</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> Patrick Phillips, Suzanne Dufault</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>There are no formal prerequisites. Students are expected to have knowledge of undergraduate statistics. We will primarily use the R programming language, so familiarity with R is helpful. Students are encouraged to take advantage of the PSPG R programming bootcamp</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>None</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Lecture, Project, Workshop</p></div><div class="noindent"><p class="courseblockextra">This course provides a foundation in modern biostatistical methods and statistical reasoning for pharmaceutical sciences research. The course will explore common data types and distributions, experimental design, exploratory data analysis, methods for hypothesis testing (both parametric and non-parametric), and model-building and comparison. During this hands-on course, students will reinforce their understanding by implementing what they have learned in R.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Pharmaceutical Science And Pharmacogenomics Prog</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Pharmaceutical Science And Pharmacogenomics Prog</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+272">More details</a></span></div>聽聽</div></div><div class="courseblock"><h3 class="cols noindent"><span class="text detail-code margin--span text--semibold text--big"><b>BIOSTAT 273</b></span>聽聽<span class="text detail-title margin--span text--semibold text--big"><b>Introduction to Biostatistics</b></span>聽聽<span class="text detail-hours_html margin--span text--semibold text--big"><b>(0.5 Units)</b></span>聽聽<span class="text detail-offering margin--span text--big"><span class="label"></span>Fall</span>聽聽</h3><div class="noindent notinpdf"><p class="courseblockextra noindent"><span class="skip-makebubbles"><span class="label"><i>Instructor(s):</i></span> David Quigley</span></p></div><div hidden="true" class="noindent"><p class="courseblockextra noindent"><span><i>Instructor(s):</i> David Quigley</span></p></div><div><p class="text detail-prerequisite_s_ margin--default"><span class="label">Prerequisite(s): </span>None</p></div><div><p class="text detail-restrictions margin--default"><span class="label">Restrictions: </span>None</p></div><div><p class="text detail-activities margin--default"><span class="label">Activities: </span>Workshop</p></div><div class="noindent"><p class="courseblockextra">This course provides an introduction to biostatistical methods. The course emphasizes practical considerations required to design studies, perform elementary analysis, and become an informed consumer of statistical data. Topics include study design, exploratory data analysis, the P value and hypothesis testing, power analysis, and reproducible analysis methods using the R statistical environment. This course will emphasize applications in favor of mathematical detail.</p></div><div class="noindent bubble-hidden notinpdf"><div class="courseblockextra noindent"><h4 class="toggle bubble-hide">View full course details:</h4> <ul> <li>School: Graduate Division</li> <li>Department: Pharmaceutical Science And Pharmacogenomics Prog</li> <li>May the student choose the instructor for this course? No</li> <li>Does enrollment in this course require instructor approval? No</li> <li>Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</li> <li>Graduate Division course: Yes</li> <li>Is this a web-based online course? No</li> <li>Is this an Interprofessional Education (IPE) course? No</li> <li>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes</li> <li>Repeat course for credit? No</li></ul> </div></div><div hidden="true" class="noindent"><div class="courseblockextra"><div class="noindent"><span class="text detail-school"><strong>School: </strong>Graduate Division</span></div> <div class="noindent"><span class="text detail-department"><strong>Department: </strong>Pharmaceutical Science And Pharmacogenomics Prog</span></div> <div class="noindent"><span class="text detail-instructor_choice"><strong>May the student choose the instructor for this course? </strong>No</span></div> <div class="noindent"><span class="text detail-consent"><strong>Does enrollment in this course require instructor approval? </strong>No</span></div> <div class="noindent"><span class="text detail-grade_mode"><strong>Course Grading Convention: </strong>P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)</span></div> <div class="noindent"><span class="text detail-grad_division"><strong>Graduate Division course: </strong>Yes</span></div> <div class="noindent"><span class="text detail-web_based"><strong>Is this a web-based online course? </strong>No</span></div> <div class="noindent"><span class="text detail-ipe"><strong>Is this an Interprofessional Education (IPE) course? </strong>No</span></div> <div class="noindent"><span class="text detail-grad_enrollment"><strong>May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? </strong>Yes</span></div> <div class="noindent"><span class="text detail-repeatability"><strong>Repeat course for credit? </strong>No</span></div></div></div><div class="noindent bubble-only notinpdf"><div class="text detail-coursedetails_link"><span class="noeco"><a href="/search/?q=BIOSTAT+273">More details</a></span></div>聽聽</div></div></div></div><!--end #textcontainer --> </main> </div> <!-- end col-content --> <div id="col-nav"> <aside id="sidebar"> <div class="sidebar-item"> <h2 id="edition" class="sidebar-header"><a href="/">2024-2025 Edition</a></h2> <nav id="cl-menu" aria-label="Primary"> <ul class="nav levelzero" id="/"> <li><a href="/welcome/">Welcome from the Chancellor</a></li> <li class="isparent"><a href="/schools/">Schools and Programs</a></li> <li class="isparent"><a href="/programs/">Academic Programs</a></li> <li class="isparent"><a href="/residency-fellowship/">Residency and Fellowship Programs</a></li> <li class="isparent"><a href="/university/">University Support Offices</a></li> <li><a href="/academic-administrative-calendar/">Academic and Administrative Calendar</a></li> <li><a href="/accreditation/">Accreditation</a></li> <li class="active isparent"><a href="/course-catalog/">Course Catalog</a> <ul class="nav levelone" id="/course-catalog/"> <li><a href="/course-catalog/anatomy/">Anatomy (ANATOMY)</a></li> <li><a href="/course-catalog/ane_periop/">Anesthesia and Perioperative Care (ANE PERIOP)</a></li> <li><a href="/course-catalog/anthropol/">Anthropology (ANTHROPOL)</a></li> <li><a href="/course-catalog/aicompdrug/">Artificial Intelligence and Computational Drug Discovery and Development (AICOMPDRUG)</a></li> <li><a href="/course-catalog/biochem/">Biochemistry (BIOCHEM)</a></li> <li><a href="/course-catalog/bioengr/">Bioengineering (BIOENGR)</a></li> <li><a href="/course-catalog/biomed_img/">Biomedical Imaging (BIOMED IMG)</a></li> <li><a href="/course-catalog/bio_md_inf/">Biomedical Informatics (BIO MD INF)</a></li> <li><a href="/course-catalog/biomed_sci/">Biomedical Sciences (BIOMED SCI)</a></li> <li><a href="/course-catalog/biophrm_sc/">Biopharmaceutical Sciences (BIOPHRM SC)</a></li> <li><a href="/course-catalog/biophysics/">Biophysics (BIOPHYSICS)</a></li> <li class="active self"><a href="#" onclick="return false;">Biostatistics (BIOSTAT)</a></li> <li><a href="/course-catalog/cell_biol/">Cell Biology (CELL BIOL)</a></li> <li><a href="/course-catalog/chemistry/">Chemistry (CHEMISTRY)</a></li> <li><a href="/course-catalog/cl_pharm/">Clinical Pharmacy (CL PHARM)</a></li> <li><a href="/course-catalog/comp_hlth/">Computational Precision Health (COMP HLTH)</a></li> <li><a href="/course-catalog/cran_anom/">Craniofacial Anomalies (CRAN ANOM)</a></li> <li><a href="/course-catalog/datasci/">Data Science (DATASCI)</a></li> <li><a href="/course-catalog/den_pub_hl/">Dental Public Health (DEN PUB HL)</a></li> <li><a href="/course-catalog/dentalsci/">Dental Sciences (DENTALSCI)</a></li> <li><a href="/course-catalog/dermatol/">Dermatology (DERMATOL)</a></li> <li><a href="/course-catalog/dev_stmcel/">Developmental and Stem Cell Biology (DEV STMCEL)</a></li> <li><a href="/course-catalog/emerg_med/">Emergency Medicine (EMERG MED)</a></li> <li><a href="/course-catalog/endicrinol/">Endocrinology (ENDICRINOL)</a></li> <li><a href="/course-catalog/epidemiol/">Epidemiology (EPIDEMIOL)</a></li> <li><a href="/course-catalog/eqbraihlth/">Equity in Brain Health (EQBRAIHLTH)</a></li> <li><a href="/course-catalog/fam_cm_med/">Family and Community Medicine (FAM CM MED)</a></li> <li><a href="/course-catalog/gencounsel/">Genetic Counseling (GENCOUNSEL)</a></li> <li><a href="/course-catalog/genetics/">Genetics (GENETICS)</a></li> <li><a href="/course-catalog/globl_hlth/">Global Health Sciences (GLOBL HLTH)</a></li> <li><a href="/course-catalog/grad/">Graduate Studies (GRAD)</a></li> <li><a href="/course-catalog/hlth_admin/">Healthcare Administration (HLTH ADMIN)</a></li> <li><a href="/course-catalog/hist_hl_sc/">History of Health Sciences (HIST HL SC)</a></li> <li><a href="/course-catalog/implmt_sci/">Implementation Science (IMPLMT SCI)</a></li> <li><a href="/course-catalog/interdept/">Interdepartmental Studies (INTERDEPT)</a></li> <li><a href="/course-catalog/lab_med/">Laboratory Medicine (LAB MED)</a></li> <li><a href="/course-catalog/medicine/">Medicine (MEDICINE)</a></li> <li><a href="/course-catalog/microbiol/">Microbiology (MICROBIOL)</a></li> <li><a href="/course-catalog/neuro_surg/">Neurological Surgery (NEURO SURG)</a></li> <li><a href="/course-catalog/neurology/">Neurology (NEUROLOGY)</a></li> <li><a href="/course-catalog/neurosci/">Neurosciences (NEUROSCI)</a></li> <li><a href="/course-catalog/nursing/">Nursing (NURSING)</a></li> <li><a href="/course-catalog/skills-lab/">Nursing Skills Lab (SKILLS LAB)</a></li> <li><a href="/course-catalog/nurs_adv_pr/">Nursing, Advanced Practice (NURSADVPR)</a></li> <li><a href="/course-catalog/nutrition/">Nutrition (NUTRITION)</a></li> <li><a href="/course-catalog/ob_gyn_r_s/">Obstetrics, Gynecology, and Reproductive Science (OB GYN R S)</a></li> <li><a href="/course-catalog/ophthalmol/">Ophthalmology (OPHTHALMOL)</a></li> <li><a href="/course-catalog/or_cra_fac/">Oral and Craniofacial Sciences (OR CRA FAC)</a></li> <li><a href="/course-catalog/or_mx_surg/">Oral and Maxillofacial Surgery (OR MX SURG)</a></li> <li><a href="/course-catalog/oral_med/">Oral Medicine (ORAL MED)</a></li> <li><a href="/course-catalog/oral_rad/">Oral Radiology (ORAL RAD)</a></li> <li><a href="/course-catalog/orthodont/">Orthodontics (ORTHODONT)</a></li> <li><a href="/course-catalog/ortho_surg/">Orthopaedic Surgery (ORTHO SURG)</a></li> <li><a href="/course-catalog/otolaryn/">Otolaryngology (OTOLARYN)</a></li> <li><a href="/course-catalog/pathology/">Pathology (PATHOLOGY)</a></li> <li><a href="/course-catalog/pt_cn_care/">Patient-​Centered Care (PT CN CARE)</a></li> <li><a href="/course-catalog/ped_dent/">Pediatric Dentistry (PED DENT)</a></li> <li><a href="/course-catalog/pediatrics/">Pediatrics (PEDIATRICS)</a></li> <li><a href="/course-catalog/periodont/">Periodontics (PERIODONT)</a></li> <li><a href="/course-catalog/pharm_chem/">Pharmaceutical Chemistry (PHARM CHEM)</a></li> <li><a href="/course-catalog/pharmgenom/">Pharmacogenomics (PHARMGENOM)</a></li> <li><a href="/course-catalog/pharmacol/">Pharmacology (PHARMACOL)</a></li> <li><a href="/course-catalog/pharmis/">Pharmacy Integrated Sciences (PHARMIS)</a></li> <li><a href="/course-catalog/phys_ther/">Physical Therapy (PHYS THER)</a></li> <li><a href="/course-catalog/prv_rs_den/">Preventive and Restorative Dental Sciences (PRV RS DEN)</a></li> <li><a href="/course-catalog/psychiatry/">Psychiatry (PSYCHIATRY)</a></li> <li><a href="/course-catalog/psychology/">Psychology (PSYCHOLOGY)</a></li> <li><a href="/course-catalog/rad_oncol/">Radiation Oncology (RAD ONCOL)</a></li> <li><a href="/course-catalog/radiology/">Radiology (RADIOLOGY)</a></li> <li><a href="/course-catalog/rehab_sci/">Rehabilitation Science (REHAB SCI)</a></li> <li><a href="/course-catalog/restor_den/">Restorative Dentistry (RESTOR DEN)</a></li> <li><a href="/course-catalog/scimethods/">Scientific Methods (SCIMETHODS)</a></li> <li><a href="/course-catalog/sociology/">Sociology (SOCIOLOGY)</a></li> <li><a href="/course-catalog/surgery/">Surgery (SURGERY)</a></li> <li><a href="/course-catalog/urology/">Urology (UROLOGY)</a></li> </ul> </li> <li class="isparent"><a href="/course-search/">Search Courses</a></li> <li><a href="/catalogcontents/">Catalog Contents</a></li> <li><a href="/azindex/">Catalog A-​Z Index</a></li> </ul> </nav> </div> <div class="sidebar-item"> <button id="print-btn" href="#print-dialog" onclick="showPrintDialog(); return false;"> <span class="fa fa-print" aria-hidden="true"></span> Print Options </button> </div> </aside> </div> <!-- end col-nav --> </div> </section> <footer id="footer"> <div class="footer__bottom wrap"> <nav aria-label="footer" class="footer__nav"> <ul> <li><a href="//www.ucsf.edu/contact-us">Contact Us</a></li> <li><a href="https://websites.ucsf.edu/digital-accessibility">Accessibility</a></li> <li><a href="https://www.ucsf.edu/website-privacy-policy">Privacy Policy</a></li> <li><a href="https://websites.ucsf.edu/website-terms-use">Terms of Use </a></li> <li><a href="https://websites.ucsf.edu/azlist">A-Z Website List</a></li> </ul> </nav> <p class="footer__copyright">© 2024-2025 The Regents of the University of California</p> </div> </footer> <aside id="print-dialog" aria-labelledby="dialog-title" class="screen" role="dialog"> <div class="print-header"> <button onclick="hidePrintDialog(); return false;" aria-controls="#print-dialog"> <span class="sr-only">Close this window</span> </button> <h2 id="dialog-title">Print Options</h2> </div> <div class="print-body"> <ul> <li> <p><a class="option-name" href="#" role="button" onclick="hidePrintDialog();window.print();return false">Send Page to Printer</a></p> <p class="option-desc">Print this page.</p> </li> <li><p><a class="option-name" href="/course-catalog/biostat/biostat.pdf" role="button">Download Page (PDF)</a></p><p class="option-desc">The PDF will include all information unique to this page.</p></li><li><p><a class="option-name" href="/pdf/2024-25_UCSF_General_Catalog.pdf" target="_blank">Download Full 2024-25 Catalog</a></p><p class="option-desc">A PDF of the entire catalog.</p></li> </ul> </div> </aside> </body> </html>