Sample Size Calculation for Controlling False Discovery Proportion
Joint Authors
Shang, Shulian
Zhou, Qianhe
Shao, Yongzhao
Liu, Mengling
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The false discovery proportion (FDP), the proportion of incorrect rejections among all rejections, is a direct measure of abundance of false positive findings in multiple testing.
Many methods have been proposed to control FDP, but they are too conservative to be useful for power analysis.
Study designs for controlling the mean of FDP, which is false discovery rate, have been commonly used.
However, there has been little attempt to design study with direct FDP control to achieve certain level of efficiency.
We provide a sample size calculation method using the variance formula of the FDP under weak-dependence assumptions to achieve the desired overall power.
The relationship between design parameters and sample size is explored.
The adequacy of the procedure is assessed by simulation.
We illustrate the method using estimated correlations from a prostate cancer dataset.
American Psychological Association (APA)
Shang, Shulian& Zhou, Qianhe& Liu, Mengling& Shao, Yongzhao. 2012. Sample Size Calculation for Controlling False Discovery Proportion. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-500538
Modern Language Association (MLA)
Shang, Shulian…[et al.]. Sample Size Calculation for Controlling False Discovery Proportion. Journal of Probability and Statistics No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-500538
American Medical Association (AMA)
Shang, Shulian& Zhou, Qianhe& Liu, Mengling& Shao, Yongzhao. Sample Size Calculation for Controlling False Discovery Proportion. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-500538
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500538