Premium
Latent class analysis in chronic disease epidemiology
Author(s) -
Kaldor John,
Clayton David
Publication year - 1985
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780040312
Subject(s) - categorical variable , latent class model , confounding , latent variable , context (archaeology) , logistic regression , latent variable model , class (philosophy) , computer science , statistics , econometrics , epidemiology , mathematics , medicine , artificial intelligence , geography , archaeology
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.