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Journal of Applied Sciences
  Year: 2005 | Volume: 5 | Issue: 7 | Page No.: 1214-1218
DOI: 10.3923/jas.2005.1214.1218
 
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Comparison of Goodness-of-Fit Tests for GEE Modeling with Binary Responses to Diabetes Mellitus

Md. Abdus Salam Akanda, Maksuda Khanam and M. Ataharul Islam

Abstract:
Analysis of data with repeated measures is often accomplished through the use of Generalized Estimating Equations (GEE) methodology. Although methods exist for assessing the adequacy of the fitted models for uncorrelated data with likelihood methods, it is not appropriate to use these methods for models fitted with GEE methodology. Barnhart and Williamson[1] proposed model-based and robust (empirically corrected) goodness-of-fit tests for GEE modeling with binary responses based on partitioning the space of covariates into distinct regions and forming score statistics that are asymptotically distributed as chi-square random variables with the appropriate degrees of freedom. In their suggested GEE approach the correlation between two responses was not considered. We here proposed an alternative procedure based on GEE where the correlation between two responses was considered. We extended their work using different correlation structures exchangeable, autoregressive and pairwise correlation along with their suggested identity correlation structure.
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How to cite this article:

Md. Abdus Salam Akanda, Maksuda Khanam and M. Ataharul Islam, 2005. Comparison of Goodness-of-Fit Tests for GEE Modeling with Binary Responses to Diabetes Mellitus. Journal of Applied Sciences, 5: 1214-1218.

DOI: 10.3923/jas.2005.1214.1218

URL: https://scialert.net/abstract/?doi=jas.2005.1214.1218

COMMENTS
05 March, 2011
Dr. Kalipada Sen:
This is excellent pice of emperical research work.
11 March, 2011
William Robert:
This paper is interesting for the application of GEE model.
02 July, 2011
Trung Hung Vo:
Authors nicely presented the alternative procedure based on GEE where the correlation structures between two responses are considered. Thanks a lot to authors for this manuscript.
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