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summary Here we study hierarchical Bayesian estimation of a monotone hazard rate for both complete and randomly right censored data. We propose two methods of computation: Monte-Carlo importance sampling and Laplace approximation techniques. These methods are computationally simple and easily implemented on complex hazard functions. They are compared in(More)
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