Sample Size Calculation for Controlling False Discovery Proportion

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 des...

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Main Authors: Shulian Shang, Qianhe Zhou, Mengling Liu, Yongzhao Shao
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2012/817948
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author Shulian Shang
Qianhe Zhou
Mengling Liu
Yongzhao Shao
author_facet Shulian Shang
Qianhe Zhou
Mengling Liu
Yongzhao Shao
author_sort Shulian Shang
collection DOAJ
description 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.
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issn 1687-952X
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language English
publishDate 2012-01-01
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record_format Article
series Journal of Probability and Statistics
spelling doaj-art-c8f9c7e12f824a9584917995614124752025-02-03T06:08:31ZengWileyJournal of Probability and Statistics1687-952X1687-95382012-01-01201210.1155/2012/817948817948Sample Size Calculation for Controlling False Discovery ProportionShulian Shang0Qianhe Zhou1Mengling Liu2Yongzhao Shao3Division of Biostatistics, New York University School of Medicine, New York, NY 10016, USANovartis Institutes for Biomedical Research, Cambridge, MA 02139, USADivision of Biostatistics, New York University School of Medicine, New York, NY 10016, USADivision of Biostatistics, New York University School of Medicine, New York, NY 10016, USAThe 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.http://dx.doi.org/10.1155/2012/817948
spellingShingle Shulian Shang
Qianhe Zhou
Mengling Liu
Yongzhao Shao
Sample Size Calculation for Controlling False Discovery Proportion
Journal of Probability and Statistics
title Sample Size Calculation for Controlling False Discovery Proportion
title_full Sample Size Calculation for Controlling False Discovery Proportion
title_fullStr Sample Size Calculation for Controlling False Discovery Proportion
title_full_unstemmed Sample Size Calculation for Controlling False Discovery Proportion
title_short Sample Size Calculation for Controlling False Discovery Proportion
title_sort sample size calculation for controlling false discovery proportion
url http://dx.doi.org/10.1155/2012/817948
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AT qianhezhou samplesizecalculationforcontrollingfalsediscoveryproportion
AT menglingliu samplesizecalculationforcontrollingfalsediscoveryproportion
AT yongzhaoshao samplesizecalculationforcontrollingfalsediscoveryproportion