An application of robust Bayesian analysis to a medical experiment
Authors:
J. B. Kadane
Affiliation:
Department of Statistics, Baker Hall 232, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Abstract:
This paper reviews a design for a clinical trail that uses expert opinion to guide the selection of treatments for patients in a way intended to be more favorable than random selection. The problems of analyzing data from the design are discussed. Using real data from a trial of two agents for treating hypertension after open heart surgery, issues of how to display the data are considered, and the extent to which the design and analysis may be robust to elicitation error is discussed.