PID:901; v1.1.1 ; Last Updated: 08/31/2017

Bayesian Efficacy Monitoring Via Predictive Probability

This application is developed by: J. Jack Lee, Ying-Wei Kuo, Diane Liu and Nan Chen

Department of Biostatistics

Calculate Stopping Boundaries

Design Parameters:
Probability of Response ( θ )
Declare efficacious if
\(\textit{PP} = \) \(\sum\) \(\bigl\{ \) \(\textit{Prob(future data) * [Prob}\) (\(\theta > \theta_{0}\) \(\textit{|current and future data}\)) \(\ge P_{T}\)\(\textit{]}\) \(\bigr\} \)
Prior distribution for \(\theta\): \(\textit{Beta}\)(\(a_0, b_0\))
Sample size and cohort size:




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Operating Characteristics

Scenarios:
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Graph Parameters:
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Trial Monitoring

Seq#
Patient ID
Resp. Outcome
1
2





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