Pairwise-False Discovery Rate Control Using Pairwise Weights

• Activity Number: 547
• Type: Contributed
• Date/Time: Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
• Sponsor: Biopharmaceutical Section
• Author(s): Bhramori Banerjee*+ and Sanat K. Sarkar
• Companies: Merck and Temple University
• Keywords: BH methods ; Pairwise-FDR ; weighted tests ; dependent p-values

Abstract

This paper is motivated by the scope of utilizing prior information of a pair of hypotheses towards further improving some multiple testing methods while maintaining control of some kind of error rate. Prior information about a pair of hypotheses is incorporated using pairwise weights. Utilizing the pairwise structure of the hypotheses also takes into account the correlation in the data. Sarkar (2008) suggested controlling the pairwise FDR to account for the correlation in the data. In this paper, apart from investigating the pairwise error rate using a different dependence model, we propose a weighted version of the pairwise-FDR using pairwise weights and a method controlling the weighted pairwise-FDR. We give a discussion on the application of such weighted procedure. We also suggest some weighting schemes that generates pairwise weights