The reliability data is getting used to monitor and improve the quality of products or services. Nowadays, most of products or services are the results of processes with dependent stages referred to as multi-stage process. In these processes, the quality characteristics are affected by the quality characteristics in the previous stages, called as cascade property. In some cases, it is not possi...

The aim of this paper is to predict and compare the survival of HIV/AIDS patients under ART follow-up in three different hospitals in Ethiopia. Three data sets with total 1304 patients were considered. Three parametric accelerated failure time distributions: lognormal, loglogistic and Weibull are used to analyze, predict and compare survival probabilities of the patients. The results indicate t...

Abstract Regression discontinuity designs (RDDs) have been developed for the estimation of treatment effects using observational data, where a is administered an externally defined decision rule, linked to continuous assignment variable. Typically, RDDs applied situations outcome interest and non-temporal. Conversely, time-to-event outcomes received less attention, despite such being common in ...

Knowledge of factors that affect the under-five year child mortality is important because it pertains to policy and programs. Causes and differences of under-five mortality between rural and urban area help decision makers to assess programmatic needs and prioritize interventions. This paper investigates the causes and differences of under-five mortality between rural and urban area in Banglade...

BACKGROUND The Cox model has been the mainstay of survival analysis in the critically ill and time-dependent covariates have infrequently been incorporated into survival analysis. OBJECTIVES To model 28-day survival of patients with acute lung injury (ALI) and acute respiratory distress syndrome (ARDS), and compare the utility of Cox and accelerated failure time (AFT) models. METHODS Prospe...