Semiparametric models for cumulative incidence functions.

@article{Bryant2004SemiparametricMF,
  title={Semiparametric models for cumulative incidence functions.},
  author={John Bryant and James J. Dignam},
  journal={Biometrics},
  year={2004},
  volume={60 1},
  pages={
          182-90
        }
}
In analyses of time-to-failure data with competing risks, cumulative incidence functions may be used to estimate the time-dependent cumulative probability of failure due to specific causes. These functions are commonly estimated using nonparametric methods, but in cases where events due to the cause of primary interest are infrequent relative to other modes of failure, nonparametric methods may result in rather imprecise estimates for the corresponding subdistribution. In such cases, it may be… CONTINUE READING

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