Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods

Foreword

Recent years, and perhaps particularly the past decade, have seen a rapid evolution in the statistical methodology available to be used in clinical trials, from both technical and implementation standpoints. Certain practices as they might have been performed not too far into the past might in fact now seem somewhat primitive or naïve. Much, but certainly by no means all, of the recent development is related to recent interest in adaptive trial designs. The term itself is quite broad, and encompasses a wide variety of techniques and applications. Many trial aspects are potential candidates for adaptation, including but not limited to: sample size or information requirements, dose or treatment regimen selection, targeted patient population ...