G-estimation and artificial censoring: problems, challenges, and applications.

  title={G-estimation and artificial censoring: problems, challenges, and applications.},
  author={Marshall M. Joffe and Wei Peter Yang and Harold I. Feldman},
  volume={68 1},
In principle, G-estimation is an attractive approach for dealing with confounding by variables affected by treatment. It has rarely been applied for estimation of the effects of treatment on failure-time outcomes. Part of this is due to artificial censoring, an analytic device which considers some subjects who actually were observed to fail as if they were censored. Artificial censoring leads to a lack of smoothness in the estimating function, which can pose problems in variance estimation and… CONTINUE READING

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