David Madigan
Department of Statistics
University of Washington
Seattle, Washington, 98195-4322
E-mail: madigan@stat.washington.edu
Phone: 206-543-4537
Fax: 206-685-7419
In clinical trials with significant noncompliance the standard intention-to-treat analyses sometimes mislead. Rubin's causal model provides an alternative method of analysis that can shed extra light on clinical trial data. Formulating the Rubin Causal Model as a Bayesian graphical model facilitates model communication and computation.
clinical trials, noncompliance, Bayesian graphical models, intent-to-treat, Rubin causal model