Online Review ArticlesPractitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common PitfallsSinha, Pratik MB, ChB, PhD1,2; Calfee, Carolyn S. MD, MAS1,2; Delucchi, Kevin L. PhD3Author Information 1 Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA. 2 Department of Anesthesia, University of California, San Francisco, San Francisco, CA. 3 Department of Psychiatry, University of California, San Francisco, San Francisco, CA. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (http://journals.lww.com/ccmjournal). Supported, in part, by HL140026 (CSC) and GM008440-21 (Dr. Sinha). All authors received support for article research from the National Institutes of Health (NIH). Dr. Calfee’s institution received funding from the NIH, Bayer, GlaxoSmithKline, and Roche-Genentech, and she received funding from consulting or medical advisory boards for Bayer, Roche/Genentech, Quark, Prometic, CSL Behring, and Vasomune. For information regarding this article, E-mail: [email protected] Critical Care Medicine: January 2021 - Volume 49 - Issue 1 - p e63-e79 doi: 10.1097/CCM.0000000000004710 Buy SDC Metrics Abstract Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and statistical inference. There has been a recent upsurge in the application of latent class analysis in the fields of critical care, respiratory medicine, and beyond. In this review, we present a brief overview of the principles behind latent class analysis. Furthermore, in a stepwise manner, we outline the key processes necessary to perform latent class analysis including some of the challenges and pitfalls faced at each of these steps. The review provides a one-stop shop for investigators seeking to apply latent class analysis to their data. Copyright © 2020 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.