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Directly modelling matched case-control data.

Abstract

Matching in case-control studies is a situation in which one wishes to make inferences about a parameter of interest in the presence of nuisance parameters. The usual approach is to apply a conditional likelihood. A bivariate latent class log-linear model for binomial responses is shown to yield a standard likelihood identical to the usual conditional one. This extension of the Rasch model for binary responses gives consistent estimates and a suitable likelihood function for cases matched with any fixed number of controls.

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BibTeXRIS

J K Lindsey. 2000-01-15. Directly modelling matched case-control data.. https://doi.org/10.1002/(sici)1097-0258(20000115)19%3A1%3C35%3A%3Aaid-sim284%3E3.0.co%3B2-b

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