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Activity Number: 359 - Contributed Poster Presentations: Biopharmacutical Section
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #328464
Title: A Bayesian-Frequentist Hybrid Sequential Design of a Single-Arm Study with Binary Outcome and Its Shiny App
Author(s): Yansong Cheng*
Companies: Alkermes
Keywords: shiny app; Bayesian

In this poster, we will present a Bayesian-Frequentist hybrid sequential design of a single arm study with binary outcome along with its shiny app. The study is success if the number of success meets a pre-defined threshold, or further can be converted to a p-value of a hypothesis test. To monitoring the study, Bayesian predictive probability is calculated after each subject is enrolled. Go/no-go decision will be based on pre-specified threshold of predictive probability. The shiny app will be demonstrated in this poster as well.

Authors who are presenting talks have a * after their name.

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