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Analysis of Survival Data under Competing Risks with Missing Cause of Death Information: Application and Implications for Study Design

  • Janet W. Andersen
  • Els J. Goetghebeur
  • Louise Ryan
Chapter

Abstract

Goetghebeur and Ryan have developed a method for multiple-covariate analyses of survival data subject to competing risks when the failure type is missing for some cases. This method is compared to standard techniques over a range of missingness in failure type in a Hodgkin’s Disease data set and found to provide regression coefficients and inferences which were less biased than those from other methods.

Keywords

Failure Type Partial Likelihood Fisher Scoring Good Prognosis Patient Eastern Cooperative Oncology Group Study 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Bibliography

  1. Bennett JM, Andersen JW, Begg CB, Glick CB. Age and Hodgkin’s disease: The impact of competing risks and possibly salvage therapy on long term survival: an ECOG study. Leuk Res 1993; 17: 825–832.CrossRefGoogle Scholar
  2. Cox DR, Oakes D. Analysis of Survival Data. London: Chapman and Hall. 1984.Google Scholar
  3. Goetghebeur E, Ryan L. A modified log rank test for competing risks with missing failure type. Biometrika 1990; 77: 201–211.MathSciNetCrossRefGoogle Scholar
  4. Goetghebeur E, Ryan L. Analysis of competing risks survival data when some failure types are missing. 1994. ( Submitted )Google Scholar
  5. National Cancer Insitute. Annual cancer statistic review including cancer trends; 1950–1985 Bethesda, MD., NCI. 1988.Google Scholar
  6. Prentice LR, Kalbfleisch JD. The analysis of failure times in the presence of competing risks. Biometrics 1978; 34: 541–554.zbMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • Janet W. Andersen
    • 1
  • Els J. Goetghebeur
    • 2
  • Louise Ryan
    • 1
  1. 1.Dana Farber Cancer InstituteHarvard School of Public HealthBostonUSA
  2. 2.Limburgs Universitair CentrumBelgium

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