Nondegradation Stochastic Processes in Diabetes QoL Studies

Abstract

In a stochastic environment, a degradation process, in spite of showing a monotone trend, generally contains some superimposed stochastics that may camouflage the statistical picture to a certain extent. In Quality of Life (QoL) studies of some chronic diseases or disorders, especially for diabetes disorders, there are associated stochastic processes that do not exhibit a prominent degradation phenomenon until some complications due to some synergetic factors force a different pathway. For example, blindness, kidney problems, blood circulation and heart diseases may accompany the diabetes disorder, especially at a mature age. For some of these nondegradation stochastic processes, associated aging perspectives in the light of mean residual life (MRL) and the (decreasing) DMRL property are appraised without solely emphasizing semiparametric models. Biological perspectives dominate the scenario.