Department of Biostatistics Seminar/Workshop Series

Bayesian trial monitoring: Separating the baby from the bathwater

John Kittelson, PhD

Associate Professor, Department of Biostatistics and Informatics, University of Colorado at Denver

Wednesday, December 8, 1:30-2:30pm, MRBIII Conference Room 1220

As others have observed, clinical trials function as diagnostic tests for identifying beneficial (or non-beneficial) therapies. Within clinical trials, the positive predictive value (PPV) is the prevalence of truly beneficial therapies among all trials that show significant benefit. In this talk I evaluate common approaches to trial design and monitoring in terms of their effect on PPV. In particular I focus on Bayesian approaches to trial monitoring. In order to solve some shortcomings, I propose and evaluate a general Bayesian design and monitoring framework that is parameterized to focus on the scientifically important aspects of the trial. I illustrate the methods in the context of a clinical trial to evaluate a new approach for treating pre-hypertension in young adults.

http://www.ucdenver.edu/academics/colleges/PublicHealth/departments/Biostatistics/About/Faculty/Pages/KittelsonJ.aspx

Topic revision: r5 - 26 Apr 2013, JohnBock
 

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