Parametric Potential-Outcome Survival Models for Causal Inference

Parametric Potential-Outcome Survival Models for Causal Inference

Estimating causal effects in clinical trials is often complicated by treatment noncompliance and missing outcomes. In time-to-event studies, estimation is further complicated by censoring. Censoring is a type of missing outcome, the mechanism of which may be non-ignorable. While new estimates have...

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Bibliographic Details
Main Author: Gong, Zhaojing
Language:en
Published: University of Canterbury. Mathematics and Statistics 2008
Subjects:
Causal inference
Noncompliance
Survival analysis
ITT analysis
EM algorithm
HIP breast cancer trial
Potential-outcome framework
Compliers average causal effects
Online Access:http://hdl.handle.net/10092/1803

Internet

http://hdl.handle.net/10092/1803

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