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Identifiability and Estimation of Causal Effects by Principal Stratification with Outcomes Truncated by Death
Causal inference Identifiability Principal Stratification Truncated by Death
2016/1/19
In medical studies, there are many situations where the final outcomes are truncated by death, in which patients die before outcomes of interest are measured. In this paper we consider identifiability...
Longitudinal Data with Follow-up Truncated by Death:Match the Analysis Method to Research
Censoring generalized estimating equations longitudinal data missing data quality of life random effects models truncation by death
2010/3/9
Diverse analysis approaches have been proposed to distin-
guish data missing due to death from nonresponse, and to summarize
trajectories of longitudinal data truncated by death. We demonstrate
how...