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Biometrika 1996 83(1):227-232; doi:10.1093/biomet/83.1.227
© 1996 by Biometrika Trust
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MISCELLANEA

Regression analysis for long-term survival rate

SIN-HO JUNG

Department of Statistics, Hallym University Chunchon, Kangwon 200-702, Korea

A method of regression analysis for long-term survival rate, when the survival times are subject to right censoring, is proposed. Under some mild conditions, the regression estimate is consistent and has an asymptotically normal distribution. The procedures are illustrated with the data from a clinical trial. Results from Monte Carlo studies show that the new procedures are reliable for practical use.

Key Words: Link function • Logistic model • Proportional hazards model • Random censoring • Sandwich estimate


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L. Peng and Y. Huang
Survival analysis with temporal covariate effects
Biometrika, August 8, 2007; (2007) asm058v2.
[Abstract] [PDF]


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