The methodological advancements made in the field of joint models are numerous. None less, case competing risks has largely been neglected, especially from a practitioner's point view. In relevant works on models, assumptions Gaussian linear longitudinal series and proportional cause-specific hazard functions, amongst others, have remained unchallenged. this article, we provide framework based ...

Abstract: A step-stress test in the presence of competing risks and using degradation measurements is considered. It is assumed that underlying degradation path follows a concave degradation model and the intensity functions corresponding to competing risks depend only on the level of degradation. In this work, information from step-stress test at high level of stress is extrapolated, through a...

Copula models are often used to model the dependence structure in bivariate failure-time data. We consider a covariate effect regression method on the copula parameter for Archimedean copulas. The proposed method can handle three different data structures, namely typical bivariate data, semi-competing risks data and dependent truncation data. We derive large-sample properties of the proposed es...