Practitioner's Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls
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 overv...
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| Vydané v: | Critical care medicine Ročník 49; číslo 1; s. e63 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
01.01.2021
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| Predmet: | |
| ISSN: | 1530-0293, 1530-0293 |
| On-line prístup: | Zistit podrobnosti o prístupe |
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| Shrnutí: | 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. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 |
| ISSN: | 1530-0293 1530-0293 |
| DOI: | 10.1097/CCM.0000000000004710 |