Tree-structured proportional hazards regression modeling.
A method for fitting piecewise proportional hazards models to censored survival data is described. Stratification is performed recursively, using a combination of statistical tests and residual analysis. The bootstrap is employed to keep the probability of a Type I error (the error of discovering two or more strata when there is only one) of the method close to a predetermined value. The proposed method can thus also serve as a formal goodness-of-fit test for the proportional hazards model. Real and simulated data are used for illustration.
Ahn
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Department of Statistics, University of Wisconsin-Madison 53706-1685.
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D000328:Adult; D000367:Age Factors; D016027:Heart Transplantation / Q000401:mortality / Q000706:statistics & numerical data*; D006801:Humans; D016031:Liver Transplantation / Q000401:mortality / Q000706:statistics & numerical data*; D008875:Middle Aged; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D016019:Survival Analysis; D013997:Time Factors