부산대학교 도서관

We consider methods for analysing matched case-control data when some covariates (W) are completely observed but other covariates (X) are missing for some subjects. In matched case-control studies, the complete-record analysis discards completely observed subjects if none of their matching cases or controls are completely observed. We investigate an imputation estimate obtained by solving a joint estimating equation for log-odds ratios of disease and parameters in an imputation model. Imputation estimates for coefficients of W are shown to have smaller bias and mean-square error than do estimates from the complete-record analysis. [ABSTRACT FROM AUTHOR]