Inverse probability weighted estimation in survival analysis

@inproceedings{Rotnitzky2003InversePW,
  title={Inverse probability weighted estimation in survival analysis},
  author={Andrea Rotnitzky and James M. Robins},
  year={2003}
}
Modern epidemiologic and clinical studies aimed at analyzing a time to an event endpoint T routinely collect, in addition to (possibly censored) information on T, high dimensional data often in the form of baseline (i.e. timeindependent covariates V (0)) and time-varying covariates V (t) , t > 0, measured at frequent intervals. Scientific interest, however, often focuses on a low dimensional functional β = β (FX) of the distribution FX of the (intended) full data X = ¡ T, V (T ) ¢ where V (t… CONTINUE READING

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