Janick Weberpals, Sudha Raman, Pamela A. Shaw, Hana Lee, Massimiliano Russo, Bradley G. Hammill, S. Toh, John G. Connolly, Kimberly Dandreo, Fang Tian, Wei Liu, Jie Li, José J. Hernández-Muñoz, Robert J. Glynn, R. Desai
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引用次数: 2
Abstract
Objective: Partially observed confounder data pose challenges to the statistical analysis of electronic health records (EHR) and systematic assessments of potentially underlying missingness mechanisms are lacking. We aimed to provide a principled approach to empirically characterize missing data processes and investigate performance of analytic methods
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