Estimating subject-specific dependent competing risk profile with censored event time observations.

@article{Li2011EstimatingSD,
  title={Estimating subject-specific dependent competing risk profile with censored event time observations.},
  author={Yi Li and Lu Tian and Lee-Jen Wei},
  journal={Biometrics},
  year={2011},
  volume={67 2},
  pages={
          427-35
        }
}
In a longitudinal study, suppose that the primary endpoint is the time to a specific event. This response variable, however, may be censored by an independent censoring variable or by the occurrence of one of several dependent competing events. For each study subject, a set of baseline covariates is collected. The question is how to construct a reliable prediction rule for the future subject's profile of all competing risks of interest at a specific time point for risk-benefit decision making… CONTINUE READING
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