JSM 2015 Preliminary Program

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Activity Number: 615
Type: Contributed
Date/Time: Wednesday, August 12, 2015 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract #317472 View Presentation
Title: A New Approach to Multiple Testing of Grouped Hypotheses with Some Applications
Author(s): Yanping Liu* and Sanat Sarkar and Zhigen Zhao
Companies: Temple University and Temple University and Temple University
Keywords: Posterior false discovery rate ; time course microarray experiment ; hidden Markov model
Abstract:

A new two-stage approach to testing multiple hypotheses appearing in non-overlapping groups controlling false discovery rate (FDR) across all hypotheses is proposed from a Bayesian viewpoint. The method utilizes a representation of the overall FDR through within group FDRs, and thus allows a pre-determined portion of the overall FDR level to be used to maintain some control over each within-group false discoveries. The method is applied to two real data sets , one of which is taken from the Adequate Yearly Progress (AYP) study of California elementary schools (2013) comparing the academic performance of socioeconomically advantaged and socioeconomically disadvantaged students, and the other is taken from a time course microarray experiment discovering differently expressed genes following either treatment or placebo. In each of these applications, a certain model setting is assumed and the EM algorithm is used to estimate the model parameters. Our method shows superior performance by making more meaningful discoveries relative to its relevant competitors.


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

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