Pattern–Mixture and Selection Models for Analysing Longitudinal Data with Monotone Missing Patterns
单调缺失纵向数据分析中的模式混合模型与选择模型
Summary We examine three pattern–mixture models for making inference about parameters of the distribution of an outcome of interest Y that is to be measured at the end of a longitudinal study when this outcome is missing in some subjects. We show that these pattern–mixture models also have an interpretation as selection models. Because these models make unverifiable assumptions, we recommend that inference about the distribution of Y be repeated under a range of plausible…