An extended proportional hazards model for interval-censored data subject to instantaneous failures.

ABSTRACT: The proportional hazards (PH) model is arguably one of the most popular models used to analyze time to event data arising from clinical trials and longitudinal studies. In many such studies, the event time is not directly observed but is known relative to periodic examination times; i.e., practitioners observe either current status or interval-censored data. The analysis of data of this structure is often fraught with many difficulties since the event time of interest is unobserved. Further exacerbating this issue, in some such studies the observed data also consists of instantaneous failures; i.e., the event times for several study units coincide exactly with the time at which the study begins. In light of these difficulties, this work focuses on developing a mixture model, under the PH a

SUBMITTER: Withana Gamage PW 

PROVIDER: S-EPMC6707903 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature