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Randomization in survival analysis

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  • Aletti, Giacomo
  • Saada, Diane

Abstract

In this paper, we estimate the distribution function and the expectation of an increasing process. The data are supposed to be censored. The novel idea is to extend the Kaplan-Meier approach to such processes, by a randomization method. A martingale application is also provided.

Suggested Citation

  • Aletti, Giacomo & Saada, Diane, 2007. "Randomization in survival analysis," Statistics & Probability Letters, Elsevier, vol. 77(5), pages 497-502, March.
    • Handle: RePEc:eee:stapro:v:77:y:2007:i:5:p:497-502
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    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(06)00270-7
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    References listed on IDEAS

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    1. Aletti, Giacomo & Merzbach, Ely, 2002. "The set-indexed bandit problem," Stochastic Processes and their Applications, Elsevier, vol. 101(1), pages 127-142, September.
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    Cited by:

    1. Giacomo Aletti & Diane Saada, 2008. "Survival analysis in Johnson–Mehl Tessellation," Statistical Inference for Stochastic Processes, Springer, vol. 11(1), pages 55-76, February.

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      Keywords

      Kaplan-Meier estimator Fuzzy times;

      Statistics

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