Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Semiparametric Inference for a Multistate Stochastic Survival Model

  • Sung Chil Yeo (Department of Applied Statistics, Kon-Kuk University)
  • Published : 1998.04.01
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Abstract

In this paper, we consider a multistate survival model which incorporates covariates and contains two illness states and two death states. The underlying stochastic process is assumed to follow nonhomogeneous Markov process. The estimates of survival, transition and competing risks probabilities are given via the methods of partial likelihood and nonparametric maximum likelihood. Our discussion is based on the statistical theory of counting process. An illustration is given to the data of patients in a heart transplant program. The goodness of fit procedures are also discussed to check the adequacy of the model.

Keywords

References

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