JSM 2004 - Toronto

Abstract #301328

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Activity Number: 380
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #301328
Title: Simulation Studies for Additive-multiplicative Hazard Model and Mixed Continuous and Discrete Cox Regression Model via Empirical Likelihood
Author(s): Zhiheng Xu*+ and Yichuan Zhao
Companies: Georgia State University and Georgia State University
Address: 1437 Willow Lake Dr., Atlanta, GA, 30329,
Keywords: Cox's proportional hazard model ; empirical likelihood ; normal approximation ; counting process
Abstract:

In contrast to the Cox's proportional hazard model, the additive-multiplicative hazard model and mixed discrete and continuous Cox regression model become more plausible for many applications in biomedical settings. The additive-multiplicative hazard model includes both Cox's proportional hazards model and additive risk model as special cases, and mixed discrete and continuous Cox regression model incorporates the continuous and discrete components, instead of the multiplicative form and absolute continuous failure time in the Cox's proportional hazard model. We apply the empirical likelihood method to these two models to analyze the regression parameter. Two simulation studies are carried out to compare the empirical likelihood ratio method with the normal approximation method.

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