title: 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.
authors.affiliation: Biostatistics, Limburgs Universitair Centrum, 3590 Diepenbeek, Belgium. jlindsey@luc.ac.be
authors.forename: J K
authors.initials: JK
authors.lastname: Lindsey
mesh_terms: D000367:Age Factors; D016010:Binomial Distribution; D016022:Case-Control Studies; D016013:Likelihood Functions; D016014:Linear Models; D016015:Logistic Models