CINXE.COM

<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8" /> <meta name="description" content="Effect of genotype on plasma glucose" /> <link rel="canonical" href="https://eda.nc3rs.org.uk/guide-example3" /> <meta name="Generator" content="Drupal 10 (https://www.drupal.org)" /> <meta name="MobileOptimized" content="width" /> <meta name="HandheldFriendly" content="true" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <link rel="apple-touch-icon" sizes="180x180" href="/icons/apple-touch-icon.png?v=fAS12p9"> <link rel="icon" type="image/png" sizes="32x32" href="/icons/favicon-32x32.png?v=fAS12p9"> <link rel="icon" type="image/png" sizes="16x16" href="/icons/favicon-16x16.png?v=fAS12p9"> <link rel="manifest" href="/icons/site.webmanifest?v=fAS12p9"> <link rel="mask-icon" href="/icons/safari-pinned-tab.svg?v=fAS12p9" color="#8AB5DE"> <link rel="shortcut icon" href="/icons/favicon.ico?v=fAS12p9"> <meta name="msapplication-config" content="/icons/browserconfig.xml?v=fAS12p9"> <meta name="theme-color" content="#ffffff"> <title>Example 3 | NC3Rs EDA</title> <link rel="stylesheet" media="all" href="/libraries/drupal-superfish/css/superfish.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/align.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/fieldgroup.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/container-inline.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/clearfix.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/details.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/hidden.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/item-list.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/js.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/nowrap.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/position-container.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/reset-appearance.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/resize.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/system-status-counter.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/system-status-report-counters.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/system-status-report-general-info.css?snmtrd" /> <link rel="stylesheet" media="all" href="/core/modules/system/css/components/tablesort.module.css?snmtrd" /> <link rel="stylesheet" media="all" href="/modules/contrib/tb_megamenu/dist/base.css?snmtrd" /> <link rel="stylesheet" media="all" href="/modules/contrib/tb_megamenu/dist/styles.css?snmtrd" /> <link rel="stylesheet" media="all" href="/themes/contrib/corporateclean/css/basic-layout.css?snmtrd" /> <link rel="stylesheet" media="all" href="/themes/contrib/corporateclean/css/ie.css?snmtrd" /> <link rel="stylesheet" media="all and (min-width: 980px)" href="/themes/contrib/corporateclean/css/960.css?snmtrd" /> <link rel="stylesheet" media="all and (min-width: 760px) and (max-width: 980px)" href="/themes/contrib/corporateclean/css/720.css?snmtrd" /> <link rel="stylesheet" media="all and (max-width: 760px)" href="/themes/contrib/corporateclean/css/mobile.css?snmtrd" /> <link rel="stylesheet" media="all" href="/themes/contrib/corporateclean/style.css?snmtrd" /> <link rel="stylesheet" media="all" href="/themes/contrib/corporateclean/color/colors.css?snmtrd" /> <link rel="stylesheet" media="all" href="/themes/contrib/nc3rs/css/styles.css?snmtrd" /> <link rel="stylesheet" media="all" href="/themes/contrib/nc3rs/css/minimal.css?snmtrd" /> </head> <body class="path-node page-node-type-eda-user-guide-page booklayout"> <a href="#main" class="visually-hidden focusable skip-link"> Skip to main content </a> <div class="dialog-off-canvas-main-canvas" data-off-canvas-main-canvas> <div id="header-container"> <div id="header"> <div id="header-inside" class="container clearfix"> <div id="header-inside-ctr" class="grid"> <div id="header-inside-logo"> <div class="inside-logo"> <a href="/" title="Home page"> <img src="/themes/contrib/nc3rs/images/eda-logo-text-no-border-purple.png?cb=1732789176" alt="Home page" /> </a> </div> </div> <div id="header-inside-right-container"> <div id="header-menu"> <div id="header-menu-inside" class="container"> <div class="grid"> <div id="navigation"> <div class="search-block-form block block-search block-search-form-block collapse" data-drupal-selector="search-block-form" id="block-nc3rs-search-form" role="search"> <div class="content"> <form action="/search/node" method="get" id="search-block-form" accept-charset="UTF-8"> <div class="js-form-item form-item js-form-type-search form-item-keys js-form-item-keys form-no-label"> <label for="edit-keys" class="visually-hidden">Search</label> <input title="Enter the terms you wish to search for." data-drupal-selector="edit-keys" type="search" id="edit-keys" name="keys" value="" size="15" maxlength="128" class="form-search" placeholder="What are you looking for?"/> </div> <div data-drupal-selector="edit-actions" class="form-actions js-form-wrapper form-wrapper" id="edit-actions"><input data-drupal-selector="edit-submit" type="submit" id="edit-submit" value="Search" class="button js-form-submit form-submit" /> </div> </form> <div id="close-search-form-button"> <button id="close-button" value="Close">Close</button> <span class="sm-fonticons24 close-search-form-icon">cancel</span> </div> </div> </div> <div id="block-mainmenu" class="block block-tb-megamenu block-tb-megamenu-menu-blockmain"> <div class="content"> <nav class="tbm tbm-main tbm-no-arrows" id="tbm-main" data-breakpoint="1200" aria-label="main navigation"> <button class="tbm-button" type="button"> <span class="tbm-button-container"> <span></span> <span></span> <span></span> <span></span> </span> </button> <div class="tbm-collapse always-show"> <ul class="tbm-nav level-0 items-3" role="list" > <li class="tbm-item level-1" aria-level="1" > <div class="tbm-link-container"> <a href="/about" class="tbm-link level-1" title="Outlines the objective of the Experimental Design Assistant and the benefits for users"> About the EDA </a> </div> </li> <li class="tbm-item level-1 tbm-item--has-dropdown" aria-level="1" > <div class="tbm-link-container"> <a href="/experimental-design" class="tbm-link level-1 tbm-toggle" aria-expanded="false"> Experimental design </a> <button class="tbm-submenu-toggle"><span class="visually-hidden">Toggle submenu</span></button> </div> <div class="tbm-submenu tbm-item-child" role="list"> <div class="tbm-row"> <div class="tbm-column span12"> <div class="tbm-column-inner"> <ul class="tbm-subnav level-1 items-12" role="list"> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-experiment" class="tbm-link level-2"> Experiment </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-animal-characteristics" class="tbm-link level-2"> Animal characteristics </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-variables" class="tbm-link level-2"> Independent variables </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-group" class="tbm-link level-2"> Group and sample size </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-unit" class="tbm-link level-2"> Experimental unit </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-inclusion-exclusion" class="tbm-link level-2"> Inclusion and exclusion </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-allocation" class="tbm-link level-2"> Allocation </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-blinding" class="tbm-link level-2"> Blinding </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-intervention" class="tbm-link level-2"> Intervention </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-measurement" class="tbm-link level-2"> Measurement </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/experimental-design-analysis" class="tbm-link level-2"> Analysis </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/glossary" class="tbm-link level-2"> Glossary </a> </div> </li> </ul> </div> </div> </div> </div> </li> <li class="tbm-item level-1 tbm-item--has-dropdown" aria-level="1" > <div class="tbm-link-container"> <a href="/guide" class="tbm-link level-1 tbm-toggle" aria-expanded="false"> User support </a> <button class="tbm-submenu-toggle"><span class="visually-hidden">Toggle submenu</span></button> </div> <div class="tbm-submenu tbm-item-child" role="list"> <div class="tbm-row"> <div class="tbm-column span12"> <div class="tbm-column-inner"> <ul class="tbm-subnav level-1 items-5" role="list"> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/overview-demonstration" class="tbm-link level-2"> Overview and demonstration of the EDA </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/guide-process" class="tbm-link level-2"> Getting the most out of the EDA </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/guide-diagram" class="tbm-link level-2"> What is the experiment diagram? </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/guide-examples" class="tbm-link level-2"> Examples and Templates </a> </div> </li> <li class="tbm-item level-2" aria-level="2" > <div class="tbm-link-container"> <a href="/Troubleshooting" class="tbm-link level-2"> Troubleshooting </a> </div> </li> </ul> </div> </div> </div> </div> </li> </ul> </div> </nav> <script> if (window.matchMedia("(max-width: 1200px)").matches) { document.getElementById("tbm-main").classList.add('tbm--mobile'); } </script> </div> </div> </div> <div id="search-form"> <span class="sm-fonticons24 search-icon">search</span> </div> <div id="sign-in-button"> <a target="_blank" href="/eda/landing"> <div id="sign-in-button-text">Sign in</div> <span class="sm-fonticons24 sign-in-icon">account_circle</span> </a> </div> </div> </div> </div> <div id="eda-banner"> <div class="eda-banner-logo"> <a title="NC3Rs website" href="https://www.nc3rs.org.uk"> <img src="/themes/contrib/nc3rs/images/blue_logo.png?cb=1732789176" alt="Go to NC3Rs website"/> </a> </div> </div> </div> </div> <div id="block-mobilemenu" class="block block-superfish block-superfishmobile-menu"> <div class="content"> <ul id="superfish-mobile-menu" class="menu sf-menu sf-mobile-menu sf-horizontal sf-style-none"> <li id="mobile-menu-menu-link-content8e86245c-3027-484d-b723-a5b026f14a8b" class="sf-depth-1 sf-no-children"><a href="/about" title="Outlines the objective of the Experimental Design Assistant and the benefits for users" class="sf-depth-1">About EDA</a></li><li id="mobile-menu-menu-link-contentd858a62f-0814-4278-a311-002b99863460" class="sf-depth-1 menuparent"><a href="/experimental-design" title="Describes the basic components which constitute the design process, and how to represent them in the EDA diagram" class="sf-depth-1 menuparent">Experimental Design</a><ul><li id="mobile-menu-menu-link-content5a6bf3f4-9d1b-4077-b159-82b1afe3ab59" class="sf-depth-2 sf-no-children"><a href="/experimental-design-experiment" title="The experiment and animal characteristics nodes" class="sf-depth-2">Experiment</a></li><li id="mobile-menu-menu-link-content0a26ca78-fb1b-47f2-bd19-c808c786fb3d" class="sf-depth-2 sf-no-children"><a href="/experimental-design-animal-characteristics" class="sf-depth-2">Animal characteristics</a></li><li id="mobile-menu-menu-link-contentadbb899d-cfec-46a0-b143-57fa4a077e58" class="sf-depth-2 sf-no-children"><a href="/experimental-design-variables" title="The independent variable of interest and nuisance variable nodes" class="sf-depth-2">Independent variables</a></li><li id="mobile-menu-menu-link-content3e05c0cc-2323-44bf-b4a4-8aba1cfd651a" class="sf-depth-2 sf-no-children"><a href="/experimental-design-group" title="The group node and sample size" class="sf-depth-2">Group and sample size</a></li><li id="mobile-menu-menu-link-content6d88211d-55b1-4335-be97-e62f91452c4d" class="sf-depth-2 sf-no-children"><a href="/experimental-design-unit" title="The experimental unit node" class="sf-depth-2">Experimental unit</a></li><li id="mobile-menu-menu-link-content22837d14-19aa-47c1-9335-6832bec9ee1c" class="sf-depth-2 sf-no-children"><a href="/experimental-design-inclusion-exclusion" class="sf-depth-2">Inclusion and exclusion</a></li><li id="mobile-menu-menu-link-content1ae7ef03-0406-49ed-88da-43ef55c6c884" class="sf-depth-2 sf-no-children"><a href="/experimental-design-allocation" title="The allocation node and randomisation" class="sf-depth-2">Allocation</a></li><li id="mobile-menu-menu-link-contentb4fa4b4c-efc2-4357-b318-c4e3b76f1486" class="sf-depth-2 sf-no-children"><a href="/experimental-design-blinding" title="Allocation concealment and blinding" class="sf-depth-2">Blinding</a></li><li id="mobile-menu-menu-link-content7ab28bef-7328-4323-b75c-4a6c73d109c0" class="sf-depth-2 sf-no-children"><a href="/experimental-design-intervention" title="The intervention nodes" class="sf-depth-2">Intervention</a></li><li id="mobile-menu-menu-link-content8f92452c-fded-4765-9e8a-85c4ef01e0b3" class="sf-depth-2 sf-no-children"><a href="/experimental-design-measurement" title="The measurement nodes" class="sf-depth-2">Measurement</a></li><li id="mobile-menu-menu-link-content3f139c68-16a6-47d5-aef2-1b5c20d9a12d" class="sf-depth-2 sf-no-children"><a href="/experimental-design-analysis" title="The data transformation and analysis nodes" class="sf-depth-2">Analysis</a></li><li id="mobile-menu-menu-link-content11840e33-4605-4411-8e00-c11d576c7c6f" class="sf-depth-2 sf-no-children"><a href="/glossary" title="Glossary of terms" class="sf-depth-2">Glossary</a></li></ul></li><li id="mobile-menu-menu-link-content5f0675e4-e51d-4034-bb1c-17f628d24076" class="active-trail sf-depth-1 menuparent"><a href="/guide" title="Provides guidance on how to use the EDA and get the most of the support available" class="sf-depth-1 menuparent">User Guide</a><ul><li id="mobile-menu-menu-link-contentaee1aa09-9a80-43b7-8cd9-4f05fb6c9c03" class="sf-depth-2 sf-no-children"><a href="/overview-demonstration" title="Video presentations providing an overview and demonstration of the EDA" class="sf-depth-2">Overview and demonstration of the EDA</a></li><li id="mobile-menu-menu-link-contenta0bab3e7-59af-4938-ab95-ddba120cc896" class="sf-depth-2 sf-no-children"><a href="/guide-process" class="sf-depth-2">Getting the most out of the EDA</a></li><li id="mobile-menu-menu-link-content32f3d9e5-3f1c-475f-8d5c-c9576d804b3c" class="sf-depth-2 sf-no-children"><a href="/guide-diagram" class="sf-depth-2">What is the experiment diagram?</a></li><li id="mobile-menu-menu-link-contente7a8ba12-019f-4fc0-b557-5f976050d470" class="active-trail sf-depth-2 menuparent"><span class="sf-depth-2 menuparent nolink">Examples and Templates</span><ul><li id="mobile-menu-menu-link-contenteed43937-08c1-4e2f-875a-05bead708ff9" class="sf-depth-3 sf-no-children"><a href="/guide-example1" class="sf-depth-3">Example 1</a></li><li id="mobile-menu-menu-link-content53cf7a46-5605-45b0-b953-ea16c3651921" class="sf-depth-3 sf-no-children"><a href="/guide-example2" class="sf-depth-3">Example 2</a></li><li id="mobile-menu-menu-link-contente08f7dd0-cb37-4810-b55b-676516b1e2c8" class="active-trail sf-depth-3 sf-no-children"><a href="/guide-example3" class="is-active sf-depth-3">Example 3</a></li><li id="mobile-menu-menu-link-contentc141451d-8a5b-4e91-afc2-dc0dcca3355e" class="sf-depth-3 sf-no-children"><a href="/guide-example4" class="sf-depth-3">Example 4</a></li><li id="mobile-menu-menu-link-content8d6d8914-9024-4ca7-be42-e5554457bb3d" class="sf-depth-3 sf-no-children"><a href="/guide-example5" class="sf-depth-3">Example 5</a></li></ul></li><li id="mobile-menu-menu-link-content36d878b0-01ad-441b-8519-5c7945fa904a" class="sf-depth-2 sf-no-children"><a href="/Troubleshooting" class="sf-depth-2">Troubleshooting</a></li></ul></li> </ul> </div> </div> <div class="search-block-form block block-search block-search-form-block" data-drupal-selector="search-block-form-2" id="block-mobile-searchform" role="search"> <div class="content"> <form action="/search/node" method="get" id="search-block-form--2" accept-charset="UTF-8"> <div class="js-form-item form-item js-form-type-search form-item-keys js-form-item-keys form-no-label"> <label for="edit-keys--2" class="visually-hidden">Search</label> <input title="Enter the terms you wish to search for." data-drupal-selector="edit-keys" type="search" id="edit-keys--2" name="keys" value="" size="15" maxlength="128" class="form-search" placeholder="What are you looking for?"/> </div> <div data-drupal-selector="edit-actions" class="form-actions js-form-wrapper form-wrapper" id="edit-actions--2"><input data-drupal-selector="edit-submit" type="submit" id="edit-submit--2" value="Search" class="button js-form-submit form-submit" /> </div> </form> </div> </div> </div> </div> </div> <div id="content-wrapper"> <div id="header-separator"> </div> <div id="content"> <div class="container clearfix"> <div class="grid"> <div id="block-nc3rs-breadcrumbs" class="block block-system block-system-breadcrumb-block"> <div class="content"> <div class="breadcrumb"> <h2 class="visually-hidden">Breadcrumb</h2> </div> </div> </div> </div> </div> <div id="content-inside" class="container clearfix"> <div id="main" class="grid_8 narrow" tabindex="-1"> <div id="highlighted"> <div data-drupal-messages-fallback class="hidden"></div> </div>   <div id="block-nc3rs-page-title" class="block block-core block-page-title-block"> <div class="content"> <h1> <span>Example 3</span> </h1> </div> </div> <div id="block-nc3rs-system-main" class="block block-system block-system-main-block"> <div class="content"> <div data-history-node-id="53" about="/guide-example3"> <div class="content clearfix" > <div><h2>Effect of genotype on plasma glucose</h2> <p><img alt data-entity-type data-entity-uuid src="data:image/png;base64,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"></p> <p><a href="/eda/modelEditor/index/2737" target="_blank">View experiment diagram</a> | <a href="/eda/modelEditor/index/2767" target="_blank">Use this diagram as a template</a></p> <p>This is a phenotyping experiment, designed to test whether the mice genotype (wild type or knock out) affects plasma glucose levels following a glucose challenge and whether the effect of genotype depends on the sex of the animal. Four groups of mice of all the possible combinations of sex and genotype are used. The experimental unit in this experiment is each animal; this is only indicated for group 1 but the system assumes that the experimental unit is the same for all groups.</p> <p>The independent variables of interest here are sex and genotype. There is no allocation node on this diagram as the genotype and sex for each animal are randomised by Mendelian inheritance prior to the experiment. This is indicated in the properties of the variable nodes for sex and genotype.</p> <p>Mice are fasted for 14h before the start of the experiment, then body weight is measured for all animals. For each mouse, at t=0 plasma glucose is measured. Immediately after, an injection of glucose is administered. Each mouse is individually coded so that the experimenter does not know which group the animals belong to, blinding is however only partial as the experimenter can see the sex of the animals when injecting them. Animals are processed in a random order so that the time of the day does not confound the effect of sex and genotype. At t=15 min, t=30, t=60 and t=120 min, all animals are measured again, in the same random order as before so that the interval between injection and measurements is similar for all animals.</p> <p><em>Note that if measurements were spaced by a larger interval, for example one week instead of one hour, animals could be re-randomised for each measurement as re-ordering the animals would have limited impact on the intervals between measurements.</em></p> <p><span style="line-height: 1.538em;">The analysis uses a summary measure – the area under the curve – to compare plasma glucose over 2h between the four groups. This analysis includes genotype and sex as factors of interest, the experimenter is interested in the overall effect of sex and genotype on blood pressure and plasma glucose between the groups rather than differences between time points, thus the independent variable ‘time of measurement’ is not included in the analysis but a summary measure is used instead. If the data fit parametric assumptions, it can be analysed using a factorial ANOVA (2 way ANOVA with interaction).</span></p> <p>Group sizes are calculated based on the planned analysis method, to ensure that the experiment yields enough power to detect a difference between the groups if there is one. Power calculations for 2 way ANOVA are not available within the EDA so <a href="http://www.gpower.hhu.de/" target="_blank">G*Power</a> is used using the following settings and input parameters:</p> <ul> <li>Test family: F tests</li> <li>Statistical test: ANOVA: fixed effects, special, main effects and interactions</li> <li>Type of power analysis: A priori: compute required sample size – given α, power and effect size</li> <li>Effect size f: 0.4 (large effect by Cohen’s definition)</li> <li>α err prob: 0.05 (this is the <a href="/experimental-design-group#alpha" target="_blank">significance level</a>)</li> <li>Power (1-β err prob): 0.8 (this is the statistical <a href="/experimental-design-group#power" target="_blank">power</a>)</li> <li>Numerator df: 1 (number of categories in each variable minus 1, both variables have 2 categories)</li> <li>Number of groups: 4</li> </ul> <p>The total sample size calculated is 52, which relates to 13 experimental units (13 animals) per group.</p> <p>The outcome measure ‘body weight’ is not included in the analysis as it is measured to calculate the dose of the glucose challenge.</p> <h3>Keywords</h3> <p>Multiple animal characteristics | No randomisation | Data transformation | Multiple time points | Multiple outcome measures | Sex and genotype as factors of interest | Two-way ANOVA with interaction</p> <h3>References</h3> <p>This experiment is loosely based on the <a href="http://www.mousephenotype.org/impress/impress/displaySOP/87" target="_blank">intraperitoneal glucose tolerance test (ipGTT)</a> from the International Mouse Phenotyping Resource of Standardised Screens (IMPReSS).</p> </div> </div> <div class="clearfix"> </div> </div> </div> </div> <div id="sidebar-first" class="grid_4"> </div> <div class="publishedInformation"> <div class="publishedDate">First published 04 April 2014</div> <div class="updatedDate">Last updated 26 September 2023</div> </div> </div> </div> </div> </div> <div id="footer"> <div id="footer-inside" class="container clearfix"> <div class="footer-area grid_4"> </div> <div class="footer-area grid_4"> </div> <div class="footer-area grid_4"> </div> </div> </div> <div id="footer-bottom"> <div id="footer-bottom-inside" class="container clearfix"> <div id="footer-bottom-up"> <span id="footer-bottom-up-text">Created and managed by </span> <a title="NC3Rs website" href="https://www.nc3rs.org.uk"> <img id="nc3rs-logo" src="/themes/contrib/nc3rs/images/logo_no_border.png?cb=1732789176" alt="Go to NC3Rs website"/> </a> </div> <div id="footer-bottom-left" class="grid"> <nav role="navigation" aria-labelledby="block-nc3rs-menu-menu-footer-menu-menu" id="block-nc3rs-menu-menu-footer-menu"> <h2 id="block-nc3rs-menu-menu-footer-menu-menu">Footer menu</h2> <ul> <li> <a href="/accessibility" title="" data-drupal-link-system-path="node/30">Accessibility </a> </li> <li> <a href="/contact" title="" data-drupal-link-system-path="node/31">Contact</a> </li> <li> <a href="/terms-conditions" title="" data-drupal-link-system-path="node/29">Terms and Conditions</a> </li> <li> <a href="/privacy" title="" data-drupal-link-system-path="node/167">Data Protection and Privacy</a> </li> <li> <a href="/security" data-drupal-link-system-path="node/456">Security</a> </li> </ul> </nav> </div> <div id="footer-bottom-bottom"> <div id="footer-bottom-bottom-text">&#xA9 NC3Rs</div> </div> </div> </div> <div id="postfix"> </div> </div> <script type="application/json" data-drupal-selector="drupal-settings-json">{"path":{"baseUrl":"\/","pathPrefix":"","currentPath":"node\/53","currentPathIsAdmin":false,"isFront":false,"currentLanguage":"en","civiccookiecontrol_path":"modules\/contrib\/civicccookiecontrol"},"pluralDelimiter":"\u0003","suppressDeprecationErrors":true,"civiccookiecontrol":"{\u0022apiKey\u0022:\u0022487f456762462627969a5b51573dcc53e2cdd8f1\u0022,\u0022product\u0022:\u0022PRO_MULTISITE\u0022,\u0022logConsent\u0022:false,\u0022consentCookieExpiry\u0022:90,\u0022encodeCookie\u0022:false,\u0022subDomains\u0022:false,\u0022notifyOnce\u0022:false,\u0022rejectButton\u0022:false,\u0022toggleType\u0022:\u0022slider\u0022,\u0022closeStyle\u0022:\u0022icon\u0022,\u0022settingsStyle\u0022:\u0022link\u0022,\u0022initialState\u0022:\u0022NOTIFY\u0022,\u0022layout\u0022:\u0022SLIDEOUT\u0022,\u0022position\u0022:\u0022LEFT\u0022,\u0022theme\u0022:\u0022LIGHT\u0022,\u0022necessaryCookies\u0022:[],\u0022optionalCookies\u0022:[{\u0022name\u0022:\u0022analytics\u0022,\u0022label\u0022:\u0022Analytical Cookies\u0022,\u0022description\u0022:\u0022\u003Cp\u003EAnalytical cookies help us to improve our website by collecting and reporting information on its usage.\u003C\/p\u003E\u0022,\u0022cookies\u0022:[\u0022_ga\u0022,\u0022_gid\u0022,\u0022_gat\u0022],\u0022onAccept\u0022:\u0022function(){(function(i,s,o,g,r,a,m){i[\u0027GoogleTagObject\u0027]=r;i[r]=i[r]||function(){ (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) })(window,document,\u0027script\u0027,\u0027https:\/\/www.googletagmanager.com\/gtag\/js?id=G-P0JZ7MCWSQ\u0027,\u0027gtag\u0027);\\r\\n\\r\\n window.dataLayer = window.dataLayer || [];\\r\\n function gtag(){dataLayer.push(arguments);}\\r\\ngtag(\u0027js\u0027, new Date());\\r\\n\\r\\ngtag(\u0027config\u0027, \u0027G-P0JZ7MCWSQ\u0027);\\r\\nfetch(\u0027https:\/\/eda.nc3rs.org.uk\/eda\/cookieConsent\/index\u0027, {\\r\\n method: \u0027POST\u0027,\\r\\n headers: {\\r\\n \u0027Content-Type\u0027: \u0027application\/json\u0027\\r\\n },\\r\\n body: JSON.stringify({ \\\u0022analytics\\\u0022: true })\\r\\n});}\u0022,\u0022onRevoke\u0022:\u0022function(){window[\u0027ga-disable-G-52Y44C2RTP\u0027] = true;\\r\\nfetch(\u0027https:\/\/eda.nc3rs.org.uk\/eda\/cookieConsent\/index\u0027, {\\r\\n method: \u0027POST\u0027,\\r\\n headers: {\\r\\n \u0027Content-Type\u0027: \u0027application\/json\u0027\\r\\n },\\r\\n body: JSON.stringify({ \\\u0022analytics\\\u0022: false })\\r\\n});}\u0022,\u0022recommendedState\u0022:true,\u0022lawfulBasis\u0022:\u0022consent\u0022}],\u0022excludedCountries\u0022:[],\u0022debug\u0022:false,\u0022setInnerHTML\u0022:true,\u0022wrapInnerHTML\u0022:false,\u0022mode\u0022:\u0022GDPR\u0022,\u0022acceptBehaviour\u0022:\u0022recommended\u0022,\u0022closeOnGlobalChange\u0022:true,\u0022notifyDismissButton\u0022:true,\u0022sameSiteCookie\u0022:true,\u0022sameSiteValue\u0022:\u0022Strict\u0022,\u0022iabCMP\u0022:false,\u0022statement\u0022:{\u0022description\u0022:\u0022For more detailed information on the cookies we use, please check our\u0022,\u0022name\u0022:\u0022Privacy Policy\u0022,\u0022updated\u0022:\u002211\/11\/2021\u0022,\u0022url\u0022:\u0022https:\/\/eda.nc3rs.org.uk\/privacy\u0022},\u0022ccpaConfig\u0022:[],\u0022accessibility\u0022:{\u0022accessKey\u0022:\u0022C\u0022,\u0022overlay\u0022:true,\u0022outline\u0022:true,\u0022disableSiteScrolling\u0022:false},\u0022text\u0022:{\u0022title\u0022:\u0022This site uses cookies\u0022,\u0022intro\u0022:\u0022\u003Cp\u003ESome of these cookies are essential to make our site work and others help us to improve by giving us some insight into how the site is being used.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u0022,\u0022acceptRecommended\u0022:\u0022Accept Recommended Settings\u0022,\u0022acceptSettings\u0022:\u0022I accept\u0022,\u0022rejectSettings\u0022:\u0022I do not accept\u0022,\u0022necessaryTitle\u0022:\u0022Essential Cookies\u0022,\u0022necessaryDescription\u0022:\u0022\u003Cp\u003EEssential cookies enable core functionality such as page navigation and access to secure areas. The website cannot function properly without these cookies, and they can only be disabled by changing your browser preferences.\u003C\/p\u003E\u0022,\u0022thirdPartyTitle\u0022:\u0022Warning: Some cookies require your attention.\u0022,\u0022thirdPartyDescription\u0022:\u0022\u003Cp\u003EConsent for the following cookies could not be automatically revoked. Please follow the link(s) below to opt out manually.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u0022,\u0022on\u0022:\u0022On\u0022,\u0022off\u0022:\u0022Off\u0022,\u0022notifyTitle\u0022:\u0022Your choice regarding cookies on this site\u0022,\u0022notifyDescription\u0022:\u0022\u003Cp\u003EWe use cookies to optimise site functionality and give you the best possible experience.\u003C\/p\u003E\u0022,\u0022accept\u0022:\u0022I accept\u0022,\u0022reject\u0022:\u0022I reject\u0022,\u0022settings\u0022:\u0022Manage preferences\u0022,\u0022closeLabel\u0022:\u0022Close\u0022,\u0022cornerButton\u0022:\u0022Set cookie preferences.\u0022,\u0022landmark\u0022:\u0022Cookie preferences.\u0022,\u0022showVendors\u0022:\u0022Show vendors within this category\u0022,\u0022thirdPartyCookies\u0022:\u0022This vendor may set third party cookies.\u0022,\u0022readMore\u0022:\u0022Read more\u0022},\u0022branding\u0022:{\u0022fontSizeTitle\u0022:\u0022em\u0022,\u0022fontSize\u0022:\u0022em\u0022,\u0022toggleText\u0022:\u0022#ffffff\u0022,\u0022toggleColor\u0022:\u0022#ffffff\u0022,\u0022toggleBackground\u0022:\u0022#0076af\u0022,\u0022alertBackground\u0022:\u0022#0076af\u0022,\u0022buttonIconWidth\u0022:\u0022px\u0022,\u0022buttonIconHeight\u0022:\u0022px\u0022,\u0022rejectText\u0022:null,\u0022rejectBackground\u0022:\u0022\u0022,\u0022closeText\u0022:\u0022\u0022,\u0022closeBackground\u0022:\u0022\u0022,\u0022notifyFontColor\u0022:\u0022\u0022,\u0022notifyBackgroundColor \u0022:\u0022\u0022},\u0022locales\u0022:[]}","ga":{"commands":[["create","UA-9999999-99","auto",{"anonymizeIp":true}],["send","pageview"]]},"slideshow_settings":{"slideshow_effect":"blindX","slideshow_effect_time":"","slideshow_randomize":0,"slideshow_wrap":0,"slideshow_pause":0},"ajaxTrustedUrl":{"\/search\/node":true},"superfish":{"superfish-mobile-menu":{"id":"superfish-mobile-menu","sf":{"animation":{"opacity":"show","height":"show"},"speed":"fast"},"plugins":{"smallscreen":{"mode":"window_width","breakpoint":1201,"title":" menu"},"supposition":true,"supersubs":true}}},"TBMegaMenu":{"TBElementsCounter":{"column":null},"theme":"nc3rs","tbm-main":{"arrows":"0"}},"csp":{"nonce":"wSRXVoEDPq95sSX26E3IVA"},"user":{"uid":0,"permissionsHash":"9e089631e82d8d02f8e91ef5a852de56ec3202e91091f6e9d9a5f34e685005f2"}}</script> <script src="/core/assets/vendor/jquery/jquery.min.js?v=3.7.1"></script> <script src="/core/assets/vendor/once/once.min.js?v=1.0.1"></script> <script src="/core/misc/drupalSettingsLoader.js?v=10.3.10"></script> <script src="/core/misc/drupal.js?v=10.3.10"></script> <script src="/core/misc/drupal.init.js?v=10.3.10"></script> <script src="https://cc.cdn.civiccomputing.com/9/cookieControl-9.x.min.js"></script> <script src="/modules/contrib/civicccookiecontrol/js/cookieControlSettings.js?snmtrd"></script> <script src="/modules/contrib/ga/js/analytics.js?v=1.2"></script> <script src="https://www.google-analytics.com/analytics.js" async></script> <script src="/themes/contrib/corporateclean/js/jquery.cycle.all.js?snmtrd"></script> <script src="/themes/contrib/nc3rs/js/minimalpage.js?v=1.x"></script> <script src="/themes/contrib/nc3rs/js/expandedsearch.js?v=1.x"></script> <script src="/libraries/drupal-superfish/superfish.js?snmtrd"></script> <script src="/libraries/drupal-superfish/jquery.hoverIntent.minified.js?snmtrd"></script> <script src="/libraries/drupal-superfish/sfsmallscreen.js?snmtrd"></script> <script src="/libraries/drupal-superfish/supposition.js?snmtrd"></script> <script src="/libraries/drupal-superfish/supersubs.js?snmtrd"></script> <script src="/modules/contrib/superfish/js/superfish.js?v=2.0"></script> <script src="/modules/contrib/tb_megamenu/dist/js/frontend.js?v=1.x"></script> </body> </html>