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- W2061007273 abstract "The requirement of constant censoring parameter @b in Koziol-Green (KG) model is too restrictive. When covariates are present, the conditional KG model (Veraverbekea and Cadarso-Suarez, 2000) which allows @b to be dependent on the covariates is more realistic. In this paper, using sufficient dimension reduction methods, we provide a model-free diagnostic tool to test if @b is a function of the covariates. Our method also allows us to conduct a model-free selection of the related covariates. A simulation study and a real data analysis are also included to illustrate our approach." @default.
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- W2061007273 date "2010-08-01" @default.
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- W2061007273 title "On sufficient dimension reduction for proportional censorship model with covariates" @default.
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