Journal
ANNALS OF APPLIED STATISTICS
Volume 1, Issue 1, Pages 179-190Publisher
INST MATHEMATICAL STATISTICS
DOI: 10.1214/07-AOAS102
Keywords
Multiple testing; stability; Bonferroni method; microarray data
Categories
Funding
- NIH/NIGMS [GM075299]
- Johnson & Johnson Discovery Concept Award
Ask authors/readers for more resources
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 oil 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). The present paper reports the first Study of stability properties of the Bonferroni and Benjamini-Hochberg procedures. The Bonferroni procedure shows I superior stability in terms of the variance of both the number of true discoveries and the total number of discoveries. a property that is especially important in the presence of correlations between individual p-values. Its stability and the ability to provide strong control of the PFER make the Bonferroni procedure an attractive choice in microarray studies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available