The Potential for Bias in Principal Causal Effect Estimation When Treatment Received Depends on a Key Covariate.

  title={The Potential for Bias in Principal Causal Effect Estimation When Treatment Received Depends on a Key Covariate.},
  author={Corwin M Zigler and Thomas R. Belin},
  journal={The annals of applied statistics},
  volume={5 3},
Motivated by a potential-outcomes perspective, the idea of principal stratification has been widely recognized for its relevance in settings susceptible to posttreatment selection bias such as randomized clinical trials where treatment received can differ from treatment assigned. In one such setting, we address subtleties involved in inference for causal effects when using a key covariate to predict membership in latent principal strata. We show that when treatment received can differ from… CONTINUE READING
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