Marginal models for the analysis of longitudinal measurements with nonignorable non-monotone missing data
不可忽略且非单调缺失下纵向测量的边际模型分析
We propose methods for the analysis of continuous responses subject to nonignorable non-monotone missing data. We form a pseudolikelihood by naively assuming independence over time and using a product of marginal likelihoods at each time point, and we obtain consistent and asymptotically normal estimators of the mean and missingness parameters. Our primary interest is in estimating the parameters of the marginal model at each time point, and we make no assumption about the…