Analysis of Survival Data under Competing Risks with Missing Cause of Death Information: Application and Implications for Study Design
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.
KeywordsFailure Type Partial Likelihood Fisher Scoring Good Prognosis Patient Eastern Cooperative Oncology Group Study
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