Abstract
Latent variable modeling is often used in diagnostic studies where a gold standard reference test is not available. Its applications have become increasing popular with the fast discovery of novel biomarkers and the effort to improve healthcare for each individual. This paper attempt to provide a review on current developments and debates of these models with a focus in diagnostic studies and to discuss the value as well as cautionary considerations in the applications of these models.
Original language | English (US) |
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Journal | Biostatistics and Epidemiology |
DOIs | |
State | Accepted/In press - 2019 |
Keywords
- Finite mixture
- biomarkers
- diagnostic tests
- identifiability
- imperfect gold standard
- latent variable
- validity
ASJC Scopus subject areas
- Epidemiology
- Health Informatics