论文信息 - Bayesian Monitoring of Event Rates with Censored Data

Bayesian Monitoring of Event Rates with Censored Data

A Bayesian approach to monitoring event rates with censored data is proposed. A Dirichlet prior for discrete time event probabilities is blended with discrete survival times to provide a posterior distribution that is a mixture of Dirichlets. Approximation of the posterior distribution via data augmentation is discussed. Practical issues involved in implementing the procedure are discussed and illustrated with a simulation of the single arm Cord Blood Transplantation Study where 6-month survival is monitored.

P S Albert | D A Follmann | P. Albert | D. Follmann

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