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Modelling the liver function data in diabetes
Author(s) -
Chen T. Timothy
Publication year - 1988
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780070606
Subject(s) - markov chain , medicine , function (biology) , clinical trial , computer science , diabetes mellitus , statistics , mathematics , evolutionary biology , biology , endocrinology
We have enrolled diabetic patients into a long‐term follow‐up study that entails visits to the eye clinic every six months at which time use of a classification scheme determines whether or not the patient is normal regarding liver function. Since the study is still in progress, not all patients have complete follow‐up data. We fit models of complete symmetry to the multi‐visit binary data with supplemental margins and also investigate the data as stationary Markov chains with testing for stationarity and determination of the order of chain. The final model, a synthesis of both approaches, has potential use in future clinical trials of new drugs for diabetic patients.