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- W2086096093 abstract "In biomedical research, one major objective is to identify risk factors and study their risk impacts, as this identification can help clinicians to both properly make a decision and increase efficiency of treatments and resource allocation. A two-step penalized-based procedure is proposed to select linear regression coefficients for linear components and to identify significant nonparametric varying-coefficient functions for semiparametric varying-coefficient partially linear Cox models. It is shown that the penalized-based resulting estimators of the linear regression coefficients are asymptotically normal and have oracle properties, and the resulting estimators of the varying-coefficient functions have optimal convergence rates. A simulation study and an empirical example are presented for illustration." @default.
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- W2086096093 date "2014-01-01" @default.
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- W2086096093 title "New Inference Procedures for Semiparametric Varying-Coefficient Partially Linear Cox Models" @default.
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- W2086096093 doi "https://doi.org/10.1155/2014/360249" @default.
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