Equivalence Between Conditional and Random-Effects Likelihoods for Pair-Matched Case-Control Studies
配对病例对照研究中条件似然与随机效应似然的等价性
Two approaches dominate the analysis of highly stratified data sets: use of conditional likelihood and random-effects models. Conditioning is more traditional and has attractive robustness properties. Contemporary random-effects approaches rely more on accurate assumptions but can be applied to a larger class of problems. For pair-matched studies with arbitrary numbers of categorical covariates, we reconcile these two approaches, showing that the conditional approach has an…