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Articles by Md. Abdus Salam Akanda
Total Records ( 2 ) for Md. Abdus Salam Akanda
  Md. Abdus Salam Akanda , Kawsar Jahan , Maksuda Khanam and M. Ataharul Islam
  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.
  Md. Abdus Salam Akanda , Maksuda Khanam and M. Ataharul Islam
  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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