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FITTING A GAMMA DISTRIBUTED RANDOM-EFFECTS MODEL FOR THE TYPE-2 DIABETES MELLITUS PATIENTS - A COMPARATIVE STUDY
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ABSTRACT The aim of the present study is to reduce the morbidity and mortality by improving adherence to important recommendation for preventing, detecting, and managing diabetes patients with complication. This study determines the comparison of TYPE 2 Diabetes Mellitus (T2DM) patients of two regions and analyzed their prevalence of risk factors. A gamma distributed random- effects model is fitted and the estimates, standard error and Wald’s 95% confidence limits of the parameters are obtained using SAS. Also the LR statistics for each parameter of the two regions are obtained to study the significance of the risk factors and derived the findings. Key words: Diabetes Mellitus (DM), Risk factor, Gamma distribution, LR statistics.ddd