|
Activity Number:
|
143
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, July 30, 2007 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #308161 |
|
Title:
|
Exonerating Bonferroni's Multiple Testing Procedure
|
|
Author(s):
|
Alexander Gordon*+ and Galina Glazko and Xing Qiu and Andrei Yakovlev
|
|
Companies:
|
The University of North Carolina at Charlotte and University of Rochester and University of Rochester and University of Rochester
|
|
Address:
|
9201 University City Blvd, Charlotte, NC, 28223,
|
|
Keywords:
|
multiple testing ; Bonferroni's procedure ; stability ; microarrays
|
|
Abstract:
|
The Bonferroni multiple testing procedure is commonly perceived as being overly conservative in large-scale simultaneous testing situations such as those that arise in microarray data analysis. The objective of the present study is to show that this popular belief is due to overly stringent requirements that are typically imposed on the procedure rather than to its conservative nature. To get over its notorious conservatism, we advocate using the Bonferroni selection rule as a procedure that controls the per family error rate (PFER). Its stability, as well as the ability to provide strong control of the PFER, make the Bonferroni procedure an attractive choice in microarray studies.
|
