Bayesian monitoring of event rates with censored data

Biometrics
D A Follmann, P S Albert

Abstract

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.

References

Dec 1, 1989·Controlled Clinical Trials·L S Freedman, D J Spiegelhalter
Mar 1, 1984·Controlled Clinical Trials·C Jennison, B W Turnbull

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Citations

Apr 17, 2003·BMC Medical Research Methodology·L Douglas Case, Timothy M Morgan
Feb 20, 2009·Statistics in Medicine·Lili Zhao, George Woodworth
Jan 21, 2006·Clinical Trials : Journal of the Society for Clinical Trials·Peter F ThallNizar M Tannir

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