Latent class analysis in chronic disease epidemiology
- 1 July 1985
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 4 (3), 327-335
- https://doi.org/10.1002/sim.4780040312
Abstract
Latent class analysis provides a useful framework for the analysis of epidemiological data which may have been mismeasured. In this paper, the latent class model is described in the context of logistic regression with categorical variables, and some examples of its application are provided. In particular, it is shown that adjustment for a misclassified confounding variable can be greatly improved by using the methods presented.Keywords
This publication has 8 references indexed in Scilit:
- Using test-retest reliability data to improve estimates of relative risk: An application of latent class analysisStatistics in Medicine, 1985
- Commentary on “use of dual responses to increase validity of case-control studies”Journal of Chronic Diseases, 1984
- Use of dual responses to increase validity of case-control studiesJournal of Chronic Diseases, 1984
- Correcting for Misclassification in Two-Way Tables and Matched-Pair StudiesInternational Journal of Epidemiology, 1983
- THE EFFECT OF MISCLASSIFICATION IN THE PRESENCE OF COVARIATESAmerican Journal of Epidemiology, 1980
- BIAS DUE TO MISCLASSIFICATION IN THE ESTIMATION OF RELATIVE RISKAmerican Journal of Epidemiology, 1977
- CONFOUNDING AND EFFECT-MODIFICATIONAmerican Journal of Epidemiology, 1974
- Misclassification in 2 X 2 TablesPublished by JSTOR ,1954