Developments and debates on latent variable modeling in diagnostic studies when there is no gold standard

Zheyu Wang

doi:10.1080/24709360.2019.1673623

Developments and debates on latent variable modeling in diagnostic studies when there is no gold standard

Zheyu Wang

School of Medicine

Research output: Contribution to journal › Article › peer-review

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)
Journal	Biostatistics and Epidemiology
DOIs	https://doi.org/10.1080/24709360.2019.1673623
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

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