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Practitioner's Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls.
- Source :
-
Critical Care Medicine . Jan2021, Vol. 49 Issue 1, pe63-e79. 17p. - Publication Year :
- 2021
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *STATISTICS
*MATHEMATICAL statistics
*ONE-stop shopping
*DATA science
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 00903493
- Volume :
- 49
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Critical Care Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 147597462
- Full Text :
- https://doi.org/10.1097/CCM.0000000000004710