TY - JOUR
AU - Albert, Paul S.
AB - Summary. 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.
TI - Bayesian Monitoring of Event Rates with Censored Data
JF - Biometrics
DO - 10.1111/j.0006-341x.1999.00603.x
DA - 1999-06-01
UR - https://www.deepdyve.com/lp/oxford-university-press/bayesian-monitoring-of-event-rates-with-censored-data-BAB53BYrI5
SP - 603
VL - 55
IS - 2
DP - DeepDyve
ER -