Recently, Feizjavadian and Hashemi (Analysis of dependent competing risks in presence progressive hybrid censoring using Marshall–Olkin bivariate Weibull distribution. Comput Stat Data Anal. 2015;82:19–34) provided a classical inference data set distribution when the failure an unit at particular time point can happen due to more than one cause. The aim this paper is provide Bayesian analysis s...

CICILIA YUKO WADA. Restricted Alternatives Tests in Competing Risk Analyses. (Under the direction of Dr. P.K. SEN) The objective of the present study is to derive a union-intersection test statistic for subhypotheses against restricted alternatives in a competing risk situation with k causes of failure and p concomitant variables. Asymptotic properties of the proposed tests are investigated and...

Lehmann’s ideas on concepts of dependence have had a profound effect on mathematical theory of reliability. The aim of this paper is two-fold. The first is to show how the notion of a “hazard potential” can provide an explanation for the cause of dependence between life-times. The second is to propose a general framework under which two currently discussed issues in reliability and in survival ...

Background: Cost-effectiveness analysis often requires information on the effectiveness of interventions on multiple outcomes, and commonly these take the form of competing risks. Nevertheless, methods for synthesis of randomized controlled trials with competing risk outcomes are limited. Objective: The aim of this study was to develop and illustrate flexible evidence synthesis methods for tria...

In this paper we investigate the mathematical modelling of imperfect maintenance of a system under competing risk The model we propose is strongly motivated by Brown Proschan s imperfect repair model but extended to model preventive maintenance as one of several competing risks Parameter estimation in the model is based on Markov Chain Monte Carlo simulation The method is tested using a real li...

In some cancer clinical studies, researchers have interests to explore the risk factors associated with competing risk outcomes such as recurrence-free survival. We develop a novel recursive partitioning framework on competing risk data for both prognostic and predictive model constructions. We define specific splitting rules, pruning algorithm, and final tree selection algorithm for the compet...

Competing risk failure time data occur frequently in medical studies, and a number of methods have been proposed for the analysis of these data. To assess covariate effects, a standard approach is to model the cause-specific hazard functions of different failure types. Recently, Fine and Gray (1999) proposed directly modeling the subdistribution of a competing risk with a Cox type model. In thi...

In this paper we build and estimate an econometric model of recidivism, using a US data set of released prisoners from state prisons in 1983. The data set is unique in the sense that it contains information on recidivism for both federal and state crimes, in contrast of past studies restricted only to state samples with few or no information about federal crimes. The paper extends the literatur...

In studies with multiple endpoints, such as cancerspecific mortality and noncancer-specific mortality, conventional statistical approaches evaluate these endpoints using a separate Kaplan-Meier analysis without considering whether these endpoints are competing events for each other. In our recent study, we examined the influence of increasing age on lung cancer-specific and noncancerspecific mo...