Logistic Regression with Incompletely Observed Categorical Covariates: A Comparison of Three Approaches
分类协变量观测不完整时的logistic回归：三种方法比较
A logistic regression analysis based on the complete cases neglects the information due to subjects with missing values in at least one but not in all covariates. Three different approaches allowing the use of this information are compared: maximum likelihood estimation, pseudo maximum likelihood estimation, and probability imputation. The first two yield consistent estimates of the regression coefficients and asymptotic normality allows the construction of asymptotically…