Integrated survival analysis using an event-time approach in a Bayesian framework.

ABSTRACT: Event-time or continuous-time statistical approaches have been applied throughout the biostatistical literature and have led to numerous scientific advances. However, these techniques have traditionally relied on knowing failure times. This has limited application of these analyses, particularly, within the ecological field where fates of marked animals may be unknown. To address these limitations, we developed an integrated approach within a Bayesian framework to estimate hazard rates in the face of unknown fates. We combine failure/survival times from individuals whose fates are known and times of which are interval-censored with information from those whose fates are unknown, and model the process of detecting animals with unknown fates. This provides the foundation for our integrated m

SUBMITTER: Walsh DP 

PROVIDER: S-EPMC4328778 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature