Document Zbl 1546.62501

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Med.</a> <a href="/?q=in%3A519865" title="Articles in this Issue">40, No. 8, 1930-1946 (2021)</a>. </div> <div class="abstract"></div> <div class="clear"></div> <br> <div class="citations"><div class="clear"><a href="/?q=rf%3A7934362">Cited in <strong>1</strong> Document</a></div></div> <div class="classification"> <h3>MSC:</h3> <table><tr> <td> <a class="mono" href="/classification/?q=cc%3A62P10" title="MSC2020">62P10</a> </td> <td class="space"> Applications of statistics to biology and medical sciences; meta analysis </td> </tr></table> </div><div class="keywords"> <h3>Keywords:</h3><a href="/?q=ut%3Aelectronic+health+records">electronic health records</a>; <a href="/?q=ut%3Ageneralized+linear+models">generalized linear models</a>; <a href="/?q=ut%3Akernel+smoothing">kernel smoothing</a>; <a href="/?q=ut%3Alatent+process">latent process</a>; <a href="/?q=ut%3Atype+2+diabetes">type 2 diabetes</a></div>  <div class="modal fade" id="metadataModal" tabindex="-1" role="dialog" aria-labelledby="myModalLabel"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> <h4 class="modal-title" id="myModalLabel">Cite</h4> </div> <div class="modal-body"> <div class="form-group"> <label for="select-output" class="control-label">Format</label> <select id="select-output" class="form-control" aria-label="Select Metadata format"></select> </div> <div class="form-group"> <label for="metadataText" class="control-label">Result</label> <textarea class="form-control" id="metadataText" rows="10" style="min-width: 100%;max-width: 100%"></textarea> </div> <div id="metadata-alert" class="alert alert-danger" role="alert" style="display: none;">  </div> </div> <div class="modal-footer"> <button type="button" class="btn btn-primary" onclick="copyMetadata()">Copy to clipboard</button> <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> </div> </div> </div> </div> <div class="functions clearfix"> <div class="function">  <a type="button" class="btn btn-default btn-xs pdf" data-toggle="modal" data-target="#metadataModal" data-itemtype="Zbl" data-itemname="Zbl 1546.62501" data-ciurl="/ci/07934362" data-biburl="/bibtex/07934362.bib" data-amsurl="/amsrefs/07934362.bib" data-xmlurl="/xml/07934362.xml" > Cite </a> <a class="btn btn-default btn-xs pdf" data-container="body" type="button" href="/pdf/07934362.pdf" title="Zbl 1546.62501 as PDF">Review PDF</a> </div> <div class="fulltexts"> <span class="fulltext">Full Text:</span> <a class="btn btn-default btn-xs" type="button" href="https://doi.org/10.1002/sim.8880" aria-label="DOI for “Learning latent heterogeneity for type 2 diabetes patients using longitudinal health markers in electronic health records”" title="10.1002/sim.8880">DOI</a> </div> <div class="sfx" style="float: right;"> </div> </div> <div class="references"> <h3>References:</h3> <table><tr> <td>[1]</td> <td class="space">Gunter, TD; Terry, NP, The emergence of national electronic health record architectures in the United States and Australia: models, costs, and questions, J Med Internet Res, 7, 1, 2005</td> </tr><tr> <td>[2]</td> <td class="space">Cebul, RD; Love, TE; Jain, AK; Hebert, CJ, Electronic health records and quality of diabetes care, N Engl J Med., 365, 9, 825-833, 2011</td> </tr><tr> <td>[3]</td> <td class="space">Herrin, J.; Graca, B.; Nicewander, D., The effectiveness of implementing an electronic health record on diabetes care and outcomes, Health Serv Res, 47, 4, 1522-1540, 2012</td> </tr><tr> <td>[4]</td> <td class="space">Verbeke, G.; Fieuws, S.; Molenberghs, G.; Davidian, M., The analysis of multivariate longitudinal data: a review, Stat Methods Med Res, 23, 1, 42-59, 2014</td> </tr><tr> <td>[5]</td> <td class="space">Davidian, M.; Giltinan, DM, Nonlinear models for repeated measurement data: an overview and update, J Agric Biol Envir Stat, 8, 4, 387-419, 2003</td> </tr><tr> <td>[6]</td> <td class="space">Verbeke, G.; Molenberghs, G., Linear Mixed Models for Longitudinal Data, 2000, New York, NY: Springer · <a href="/0956.62055" class="nowrap">Zbl 0956.62055</a></td> </tr><tr> <td>[7]</td> <td class="space">Molenberghs, G.; Verbeke, G., Models for Discrete Longitudinal Data, 2005, New York, NY: Springer · <a href="/1093.62002" class="nowrap">Zbl 1093.62002</a></td> </tr><tr> <td>[8]</td> <td class="space">Lambert, P.; Vandenhende, F., A copula‐based model for multivariate non‐normal longitudinal data: analysis of a dose titration safety study on a new antidepressant, Stat Med, 21, 21, 3197-3217, 2002</td> </tr><tr> <td>[9]</td> <td class="space">Gueorguieva, RV; Sanacora, G., Joint analysis of repeatedly observed continuous and ordinal measures of disease severity, Stat Med, 25, 8, 1307-1322, 2006</td> </tr><tr> <td>[10]</td> <td class="space">Huang, JZ; Wu, CO; Zhou, L., Varying‐coefficient models and basis function approximations for the analysis of repeated measurements, Biometrika, 89, 1, 111-128, 2002 · <a href="/0998.62024" class="nowrap">Zbl 0998.62024</a></td> </tr><tr> <td>[11]</td> <td class="space">Fan, J.; Zhang, W., Statistical methods with varying coefficient models, Stat Interface, 1, 1, 179-195, 2008 · <a href="/1230.62031" class="nowrap">Zbl 1230.62031</a></td> </tr><tr> <td>[12]</td> <td class="space">Henao, R.; Lu, JT; Lucas, JE; Ferranti, J.; Carin, L., Electronic health record analysis via deep Poisson factor models, J Mach Learn Res, 17, 1, 6422-6453, 2016 · <a href="/1392.62321" class="nowrap">Zbl 1392.62321</a></td> </tr><tr> <td>[13]</td> <td class="space">Ho, JC; Ghosh, J.; Steinhubl, SR, Limestone: high‐throughput candidate phenotype generation via tensor factorization, J Biomed Inform, 52, 199-211, 2014</td> </tr><tr> <td>[14]</td> <td class="space">Miscouridou, X.; Perotte, A.; Elhadad, N.; Ranganath, R., 2018</td> </tr><tr> <td>[15]</td> <td class="space">DeMaesschalck, R.; Jouan‐Rimbaud, D.; Massart, DL, The Mahalanobis distance, Chemom Intell Lab Syst, 50, 1-18, 2000</td> </tr><tr> <td>[16]</td> <td class="space">Andersen, PK; Gill, RD, Cox’s regression model for counting processes: a large sample study, Ann Stat, 10, 4, 1100-1120, 1982 · <a href="/0526.62026" class="nowrap">Zbl 0526.62026</a></td> </tr><tr> <td>[17]</td> <td class="space">Abramowitz, M., Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 1964, Washington, DC: US Government printing office · <a href="/0171.38503" class="nowrap">Zbl 0171.38503</a></td> </tr><tr> <td>[18]</td> <td class="space">Cao, H.; Zeng, D.; Fine, JP, Regression analysis of sparse asynchronous longitudinal data, J R Stat Soc Ser B Stat Methodol, 77, 4, 755-776, 2015 · <a href="/1414.62326" class="nowrap">Zbl 1414.62326</a></td> </tr><tr> <td>[19]</td> <td class="space">Stone, NJ; Robinson, JG; Lichtenstein, AH, 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American college of cardiology/American heart association task force on practice guidelines, J Am Coll Cardiol, 63, 25 Pt B, 2889-2934, 2014</td> </tr><tr> <td>[20]</td> <td class="space">Whelton, PK; Carey, RM; Aronow, WS, 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American college of cardiology/American heart association task force on clinical practice guidelines, J Am Coll Cardiol, 71, 19, e127-e248, 2018</td> </tr><tr> <td>[21]</td> <td class="space">American Diabetes Association, 8 Pharmacologic approaches to glycemic treatment: standards of medical care in diabetes‐2018, Diabetes Care, 41, Suppl 1, S73-S85, 2018</td> </tr><tr> <td>[22]</td> <td class="space">Lance, GN; Williams, WT, Computer programs for hierarchical polythetic classification (“similarity analyses”), Comput J, 9, 1, 60-64, 1966 · <a href="/0136.38807" class="nowrap">Zbl 0136.38807</a></td> </tr></table> <div class="reference_disclaimer"> This reference list is based on information provided by the publisher or from digital mathematics libraries. 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This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching. </div> </div></article> </div></div> </div> </div> <div class="clearfix"></div> </div> </div> <div id="foot"><div class="copyright"> © 2025 <a target="fiz" href="https://www.fiz-karlsruhe.de/en">FIZ Karlsruhe GmbH</a> <a href="/privacy-policy/">Privacy Policy</a> <a href="/legal-notices/">Legal Notices</a> <a href="/terms-conditions/">Terms & Conditions</a> <div class="info"> <ul class="nav"> <li class="mastodon"> <a href="https://mathstodon.xyz/@zbMATH" target="_blank" class="no-new-tab-icon"> <img src="/static/mastodon.png" title="zbMATH at Mathstodon (opens in new tab)" alt="Mastodon logo"> </a> </li> </ul> </div> </div> <div class="clearfix" style="height: 0px;"></div> </div> </div> <script src="https://static.zbmath.org/contrib/jquery/1.9.1/jquery.min.js"></script> <script src="https://static.zbmath.org/contrib/jquery-caret/1.5.2/jquery.caret.min.js"></script> <script src="/static/js/jquery-ui-1.10.1.custom.min.js"></script> <script src="https://static.zbmath.org/contrib/bootstrap/v3.3.7zb1/js/bootstrap.min.js"></script> <script src="https://static.zbmath.org/contrib/bootstrap-lightbox/v0.7.0/bootstrap-lightbox.min.js"></script> <script src="https://static.zbmath.org/contrib/retina/unknown/retina.js"></script> <script src="https://static.zbmath.org/contrib/bootstrap-select/v1.13.14/js/bootstrap-select.min.js"></script> <script> var SCRIPT_ROOT = ""; </script> <script src="/static/scripts.js?v=20240926"> </script> <script src="https://static.zbmath.org/contrib/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script> <script type="text/x-mathjax-config"> MathJax.Hub.Config({ "HTML-CSS": { preferredFont: "TeX", availableFonts: [ "STIX", "TeX" ], linebreaks: { automatic: true }, EqnChunk: (MathJax.Hub.Browser.isMobile ? 10 : 50) }, tex2jax: { processEscapes: true, ignoreClass: "tex2jax_ignore|dno" }, TeX: { Macros: { Aut: "\\operatorname{Aut}", Hom: "\\operatorname{Hom}" }, noUndefined: { attributes: { mathcolor: "#039", //"red", mathbackground: "white", //"#FFEEEE", mathsize: "90%" } } }, messageStyle: "none" }); </script> <script type="text/javascript"> $(document).ready(function() { $("#MathInput").stop(true, true).keyup(function() { $.ajax({ url: "/mwsq/", type: "POST", data: { query : $("#MathInput").val() }, dataType: "text" }) .done(function(xml) { $("#MathPreview").html(xml); $(window).resize(); }); }); var press = jQuery.Event("keyup"); press.ctrlKey = false; press.which = 40; $("#MathInput").trigger(press); }); </script> <div id="new_tab_icon" style="display: none"> <span class="glyphicon glyphicon-new-window" aria-hidden="true"></span><span class="sr-only">(opens in new tab)</span></div> </body> </html>

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