Identification and estimation of causal effects with outcomes truncated by death

@inproceedings{Wang2017IdentificationAE,
  title={Identification and estimation of causal effects with outcomes truncated by death},
  author={Linbo Wang and Xiao-Hua Zhou and Thomas S. Richardson},
  booktitle={Biometrika},
  year={2017}
}
  • Linbo Wang, Xiao-Hua Zhou, Thomas S. Richardson
  • Published in Biometrika 2017
  • Mathematics, Medicine
  • It is common in medical studies that the outcome of interest is truncated by death, meaning that a subject has died before the outcome could be measured. In this case, restricted analysis among survivors may be subject to selection bias. Hence, it is of interest to estimate the survivor average causal effect, defined as the average causal effect among the subgroup consisting of subjects who would survive under either exposure. In this paper, we consider the identification and estimation… CONTINUE READING

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