Estimation of the average survival function using a censored data regression model.

  • Dehghan M
  • Duchesne T
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In the presence of covariates information, assuming the linear relationship between a transformation of survival time and covariates, we propose a new estimator of survival function and show its consistency. In addition, a comparison of the proposed estimator with the product-limit estimator introduced by Kaplan and Meier (1958) is performed through Monte Carlo simulation studies. We illustrate the proposed estimator with the updated Stanford heart transplant data.

Author-supplied keywords

  • biometry
  • heart transplantation
  • heart transplantation mortality
  • humans
  • linear models
  • monte carlo method
  • survival analysis

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  • PMID: 20544280


  • Mohammad Hossein Dehghan

  • Thierry Duchesne

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