JSM 2005 - Toronto

Abstract #303258

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 447
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract - #303258
Title: Nonparametric Survival Analysis on Time-Dependent Covariate Effects in Case-Cohort Sampling Design
Author(s): Chunfeng Huang*+ and Haimeng Zhang
Companies: North Dakota State University and Concordia College
Address: Waldron 203B, Fargo, ND, 58105, United States
Keywords: Asymptotic normality ; Case-Cohort Sampling ; Cox model ; Spline ; Maximum Penalized Pseudolikelihood ; Consistency
Abstract:

A nonparametric analysis of time-dependent covariate effects on failures determined by a regression function $\beta_0(t)$ in Cox's regression model based on case-cohort sampling design is developed. The analysis is carried out through maximizing appropriate penalized pseudolikelihoods. Weak uniform consistency and pointwise asymptotic normality of the resulting estimators are investigated under regularity conditions. Further generalization of the results also is discussed.

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Revised March 2005