JSM 2004 Online Program

Abstract #300529

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Activity Number:	228
Type:	Contributed
Date/Time:	Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor:	Biometrics Section
Abstract - #300529
Title:	Statistical Inference for the Additive Risk Model
Author(s):	Yichuan Zhao*+
Companies:	Georgia State University
Address:	Dept. of Mathematics and Statistics, Atlanta, GA, 30303,
Keywords:	counting process ; normal approximation ; partial likelihood ; regression ; right censoring ; martingale
Abstract:	Cox's proportional hazards model has been the most popular model for the regression analysis of censored survival data. However, the additive risk model provides a useful alternative. We apply empirical likelihood ratio method to additive risk model with right-censoring and derive its limiting distribution. Based on the result we construct a confidence interval for the regression parameter. Useful extensions are discussed. Simulation results are presented to compare the proposed method with that method based on normal approximation.

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