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 and Louise Ryan
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Janet W. Andersen: Harvard School of Public Health, Dana Farber Cancer Institute
Els J. Goetghebeur: Limburgs Universitair Centrum
Louise Ryan: Harvard School of Public Health, Dana Farber Cancer Institute

A chapter in Lifetime Data: Models in Reliability and Survival Analysis, 1996, pp 13-19 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-5654-8_3

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DOI: 10.1007/978-1-4757-5654-8_3

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