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Abstract:
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Bayesian analysis is gaining wider application in decision making throughout the drug development process, attributing to its more intuitive framework and ability to provide direct answers to complex problems. In this paper, I present a case study of Bayesian analysis for a Phase 2 clinical trial at interim to predict the probability of study success (PrSS) at the end of the trial. This case study is intended to demonstrate the value of utilizing Bayesian prediction at an interim analysis and that appropriate application has the potential to increase efficiency of decision making in drug development.
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