Document Detail


FDR-controlling testing procedures and sample size determination for microarrays.
MedLine Citation:
PMID:  15977294     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Microarrays are used increasingly to identify genes that are truly differentially expressed in tissues under different conditions. Planning such studies requires establishing a sample size that will ensure adequate statistical power. For microarray analyses, false discovery rate (FDR) is considered to be an appropriate error measure. Several FDR-controlling procedures have been developed. How these procedures perform for such analyses has not been evaluated thoroughly under realistic assumptions. In order to develop a method of determining sample sizes for these procedures, it needs to be established whether these procedures really control the FDR below the pre-specified level so that the determined sample size indeed provides adequate power. To answer this question, we first conducted simulation studies. Our simulation results showed that these procedures do control the FDR at most situations but under-control the FDR when the proportion of positive genes is small, the most likely scenarios. Thus, these existing procedures can overestimate the power and underestimate the sample size. Accordingly, we developed a simulation-based method to provide more accurate estimates for power and sample size.
Authors:
Shuying S Li; Jeannette Bigler; Johanna W Lampe; John D Potter; Ziding Feng
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Statistics in medicine     Volume:  24     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2005 Aug 
Date Detail:
Created Date:  2005-07-28     Completed Date:  2005-11-15     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  2267-80     Citation Subset:  IM    
Copyright Information:
Copyright 2005 John Wiley & Sons, Ltd.
Affiliation:
Cancer Prevention Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA. sli@fhcrc.org
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Breast Neoplasms / genetics
Computer Simulation
DNA Fingerprinting / methods
DNA, Neoplasm / chemistry,  genetics
Female
Humans
Leukemia, Myeloid / genetics
Oligonucleotide Array Sequence Analysis / methods*
Precursor Cell Lymphoblastic Leukemia-Lymphoma / genetics
Sample Size
Grant Support
ID/Acronym/Agency:
P01 CA53996/CA/NCI NIH HHS; U01 CA72035/CA/NCI NIH HHS; U0186368//PHS HHS
Chemical
Reg. No./Substance:
0/DNA, Neoplasm

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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