Bivariate positive stable frailty models

This article describes inference for dependent multivariate times-to-events using a bivariate positive stable frailty model with a Weibull baseline hazard. Suitable Markov chain Monte Carlo algorithms facilitate Bayesian inference. The method is illustrated using a study conducted by the Air Force Research Laboratory on times to symptoms of decompression sickness in human subjects.