|
Activity Number:
|
113
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, August 3, 2009 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Statistical Computing
|
| Abstract - #304434 |
|
Title:
|
A Multiple-Testing Procedure Based on the Jump Size of the p-Values
|
|
Author(s):
|
Nasrine Bendjilali*+ and Wei-Min Huang
|
|
Companies:
|
University of California, San Francisco and Lehigh University
|
|
Address:
|
, , ,
|
|
Keywords:
|
False Discovery Rate ; p-value ; multiple hypotheses testing
|
|
Abstract:
|
This article introduces a method for multiple hypotheses testing based on the jump size between the potential "smallest null" p-value and the potential "largest alternative" p-value. The size of the jump is used to determine which of the hypotheses need to be rejected. The proposed procedure seems to have fairly good control of FDR (the false discovery rate). Preliminary study also shows promising gain in power.
|
