On estimation of the survivor average causal effect in observational studies when important confounders are missing due to death.

@article{Egleston2009OnEO,
  title={On estimation of the survivor average causal effect in observational studies when important confounders are missing due to death.},
  author={Brian L. Egleston and Daniel O Scharfstein and Ellen J. Mackenzie},
  journal={Biometrics},
  year={2009},
  volume={65 2},
  pages={
          497-504
        }
}
SUMMARY We focus on estimation of the causal effect of treatment on the functional status of individuals at a fixed point in time t* after they have experienced a catastrophic event, from observational data with the following features: (i) treatment is imposed shortly after the event and is nonrandomized, (ii) individuals who survive to t* are scheduled to be interviewed, (iii) there is interview nonresponse, (iv) individuals who die prior to t* are missing information on preevent confounders… CONTINUE READING

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