Improved Conditional Logistic Regression using Information in Concordant Pairs with Software
利用结局一致配对信息改进条件 Logistic 回归及其软件实现
We develop an improvement to conditional logistic regression (CLR) in the setting where the parameter of interest is the additive effect of binary treatment effect on log-odds of the positive level in the binary response. Our improvement is simply to use information learned above the nuisance control covariates found in the concordant response pairs' observations (which is usually discarded) to create an informative prior on their coefficients. This prior is then used in the…