A Framework for Joint Modeling and Joint Assessment of Efficacy and Safety Endpoints for Probability of Success Evaluation and Optimal Dose Selection
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Xiting Cao, University of Minnesota  *Weili He, Merck & Co., Inc.  Lu Xu, Sanofi-Aventis 

Keywords: joint modeling, joint evaluation, Bayesian method, probability of success, MCMC, clinical utility index

The evaluation of clinical proof of concept, optimal dose selection, and phase III probability of success (POS) has traditionally been conducted by a subjective and qualitative assessment of the efficacy and safety data. This in part was responsible for the numerous failed phase III programs in the past. The need to utilize more quantitative approaches to assess efficacy and safety profiles has never been greater. We propose a framework that incorporates efficacy and safety data simultaneously for the joint evaluation of clinical proof of concept, optimal dose selection, and phase III POS. The proposed approach was applied to two real clinical studies. On the basis of the true outcome of the two clinical studies, the assessment based on our proposed approach suggested a reasonable path forward for both clinical programs.