A Biomedical Application of Latent Class Models with Random Effects

Alula Hadgu · Yinsheng Qu

94 citations0/0 files storedJournal of the Royal Statistical Society Series C (Applied Statistics)

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Psychometric Methodologies and Testing Reproductive tract infections research Statistical Methods in Epidemiology

Abstract

SUMMARY Traditional latent class modelling has been used in many biomedical settings. Unfortunately, many of these applications assume that the diagnostic tests are independent given the true disease status, an assumption that is often violated in practice. Qu, Tan and Kutner developed general latent class models with random effects to model the conditional dependence among multiple diagnostic tests. In this paper latent class modelling with random effects is used to estimate the sensitivity and specificity of six screening tests for detecting Chlamydia trachomatis in endocervical specimens from women attending family planning clinics.

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References

1969Latent Structure Analysis.1987Latent Class Analysis 1974Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models 2014Latent Structure Analysis 1995Use of methodological standards in diagnostic test research. Getting better but still not good 1996Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests 1986The value of latent class analysis in medical diagnosis

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2008Modeling conditional dependence between diagnostic tests: A multiple latent variable model 2000Estimating True Changes when Categorical Panel Data are Affected by Uncorrelated and Correlated Classification Errors 2009A Probit Latent Class Model with General Correlation Structures for Evaluating Accuracy of Diagnostic Tests 2004Diagnostic test accuracy and prevalence inferences based on joint and sequential testing with finite population sampling

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