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Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks
[article]
2019
arXiv
pre-print
In semicompeting risks problems, nonterminal time-to-event outcomes such as time to hospital readmission are subject to truncation by death. These settings are often modeled with illness-death models for the hazards of the terminal and nonterminal events, but evaluating causal treatment effects with hazard models is problematic due to conditioning on survival (a post-treatment outcome) that is embedded in the definition of a hazard. Extending an existing survivor average causal effect (SACE)
arXiv:1902.09304v1
fatcat:aljqaj3v4nhzpm3qqimwlxc2ey