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Activity Number: 581 - High-Throughput Biological Data Analyzed with Bayesian Methods
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract #324971 View Presentation
Title: Bayesian Multiple Testing for Binary Data
Author(s): Emrah Gecili* and Siva Sivaganesan
Companies: and University of Cincinnati
Keywords: Multiple testing ; Binary data ; Bayesian approach
Abstract:

We consider simultaneous testing of multiple null hypotheses concerning two proportions under different settings using Bayesian approach. We use an intrinsic prior with different choices of priors for the training sample size and a logit-normal prior. We use simulated and real data sets to compare the results obtained by using these priors. Additionally, the results from the Bayesian approach are compared with those of certain commonly used frequentist procedures using simulations and real data sets.


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