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Articles by G. Gopal
Total Records ( 3 ) for G. Gopal
  V. Chandrasekaran , G. Gopal and W. Basilea
  Many authors have studied the determination of sample size in longitudinal studies under different situations. A statistical methodology for determining the minimum sample size required for within-subjects repeated-measures design, applying Hotelling’s T2 analysis under the general covariance structure exists. This procedure is extended to between-subjects repeated measures design when there are two treatment groups, assuming the correlation structure among the repeated measures are autoregressive or compound symmetry. Three possible methods of analysis POST, CHANGE and ANCOVA are used to determine the sample size under the assumption that the correlation structure is compound symmetry. In this paper, we extend the existing method to obtain minimum sample size assuming that the correlation structure is first order autoregressive or a random effects model.
  Mehmood G. Sayyad , G. Gopal and Arjan K. Shahani
  This study describes the use of classification and regression tree (CART) analysis for analysing the progression of diabetic nephropathy (damage to kidneys) among type 2 diabetics in India. We also discuss a modelling approach for the development of an operational model, at the level of individual patients, for an early detection and treatment of this common complication of diabetes in India. Data for this modelling work is taken from a prospective study "Wellcome Diabetes Study" undertaken by the Diabetes Unit, King Edward Memorial Hospital, Pune, India.
  Mehmood G. Sayyad , Arjan K. Shahani , Sanju Pal , Jyoti A. Shirodkar and G. Gopal
  In India the care of people with type 2 diabetes mellitus could be with western system of medicine or an Indian system of medicine called Ayurveda. This study is concerned with the modelling for the care of people with type 2 diabetes mellitus through Ayurveda. In Ayurveda diabetes mellitus is termed as ‘prameha’ which is has become a serious health problem in many countries. We describe the use of an individual level systems modelling approach for the progression of prameha that has been used for cost-effectiveness evaluations of various prevention and patient care options. The adopted framework incorporates prameha risk groupings, formulated using the expert opinion which are then fed into a developed simulation model, at the level of individual patients. A multidisciplinary task group, comprising of clinicians and health care modellers, guided the necessary modular development involving the definition of risk groups in the community, natural history of prameha and options for early detection and treatment.
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