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Analysis of Longitudinal Data in the Case-Control Studies via Empirical Likelihood
by
Wen Jian
Department of Mathematics and Statistics, Georgia State University
Coauthors: Yichuan Zhao
The case-control study using longitudinal data is cost and time efficient when the disease is rare and assessing the exposure level of risk factors is difficult. The method of using a prospective logistic model for analyzing case-control longitudinal data was proposed and the semiparametric inference procedure was explored by Park and Kim (2004). In this paper, we apply an empirical likelihood ratio method and derive limiting distribution of the empirical likelihood ratio. Based on the result, we obtain a confidence region for the regression parameters. Simulation study shows that the proposed empirical likelihood ratio method performs well.
Date received: October 11, 2005
Copyright © 2005 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # carm-43.