The cost of failed clinical trials is unacceptably high and the industry needs to focus on ways to reduce the continuously high failure rate. Companies need to make better decisions much sooner in the developmental process. They need to be in a position to recognize which of their early trials have the best potential for ultimate phase III success and then direct much needed resources towards these high-potential trials. Statisticians are uniquely placed to lead their organizations in the exploration of newer or alternative methods that allow for a more insightful decision-making process.
nQuery Advanced now includes a new module called nQuery Bayes, specifically designed for the exploration of Bayesian methodology. This new module includes a suite of sample size tables that allow researchers to formalize the use of Bayesian methodologies into their clinical trial framework, including: 1) Bayesian Posterior Credible Intervals 2) Mixed Bayesian Likelihood 3) Assurance At this workshop, learn how to: 4) Use prior information from pilot studies and other sources to make quicker and better decisions 5) Discover the likelihood of a "positive" trial outcome and then make better decisions on which trials show the best potential
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