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.
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© 1996 Springer Science+Business Media Dordrecht
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Andersen, J.W., Goetghebeur, E.J., Ryan, L. (1996). Analysis of Survival Data under Competing Risks with Missing Cause of Death Information: Application and Implications for Study Design. In: Jewell, N.P., Kimber, A.C., Lee, ML.T., Whitmore, G.A. (eds) Lifetime Data: Models in Reliability and Survival Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5654-8_3
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DOI: https://doi.org/10.1007/978-1-4757-5654-8_3
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