Submit Manuscript

Journal of Applied Sciences

Year: 2005 | Volume: 5 | Issue: 7 | Page No.: 1228-1231
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend

Total views 180

Authors

Md. Abdus Salam Akanda

Kawsar Jahan

Maksuda Khanam

M. Ataharul Islam

Keywords

This study focused for estimating the parameters of marginal model for repeated binary responses through the Generalized Estimating Equations (GEE) methodology. The GEE were applied to observe how certain covariates relate to change of the disease status overtime. In addition, we focused on the methodology of GEE using conditional and unconditional residuals along with common correlation structures seen in longitudinal studies. Here, the GEE has been applied to the data of four repeated binary observations of the registered patients at BIRDEM. We demonstrate that the estimator of the correlation based on conditional residuals is nearly efficient when compared with maximum likelihood. This estimator also yields more efficient estimates of the correlation than the usual GEE estimator that is based on unconditional residuals. Finally the results of applying the data set are presented.
PDF Fulltext XML References Citation

Comments

Prof. Hoang Xuan Phu Reply

This is an interesting piece of scientific research work on GEE.

Leave a Comment

Your email address will not be published. Required fields are marked *