| A robust method for large-scale multiple hypotheses testing. | |
| | |
MedLine Citation:
|
PMID: 20391535 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
When drawing large-scale simultaneous inference, such as in genomics and imaging problems, multiplicity adjustments should be made, since, otherwise, one would be faced with an inflated type I error. Numerous methods are available to estimate the proportion of true null hypotheses pi(0), among a large number of hypotheses tested. Many methods implicitly assume that the pi(0) is large, that is, close to 1. However, in practice, mid-range pi(0) values are frequently encountered and many of the widely used methods tend to produce highly variable or biased estimates of pi(0). As a remedy in such situations, we propose a hierarchical Bayesian model that produces an estimator of pi(0) that exhibits considerably less bias and is more stable. Simulation studies seem indicative of good method performance even when low-to-moderate correlation exists among test statistics. Method performance is assessed in simulated settings and its practical usefulness is illustrated in an application to a type II diabetes study. |
| | |
Authors:
|
Seungbong Han; Adin-Cristian Andrei; Kam-Wah Tsui |
Related Documents
:
|
15600705 - Aging in coherent noise models and natural time. 7133915 - Scales for subjective distance in a large open field from the fractionation method: eff... 15243175 - Pre-equating: a simulation study based on a large scale assessment model. 20543875 - An evaluation of the precision of measurement of ryff's psychological well-being scales... 15747945 - Mda-based ehr application security services. 12877395 - A quantitative genetic analysis of schizotypal personality traits. |
Publication Detail:
|
Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
|
Title: Biometrical journal. Biometrische Zeitschrift Volume: 52 ISSN: 1521-4036 ISO Abbreviation: Biom J Publication Date: 2010 Apr |
Date Detail:
|
Created Date: 2010-05-03 Completed Date: 2010-09-13 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 7708048 Medline TA: Biom J Country: Germany |
Other Details:
|
Languages: eng Pagination: 222-32 Citation Subset: IM |
Affiliation:
|
Department of Statistics, University of Wisconsin-Madison, Medical Science Center 1300 University Avenue, Madison, WI 53706, USA. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms* Biometry / methods* Computer Simulation Data Interpretation, Statistical* Models, Biological* Models, Statistical* |
| Grant Support | |
ID/Acronym/Agency:
|
P30 CA014520-36/CA/NCI NIH HHS; R21 CA132267-02/CA/NCI NIH HHS; UL1 RR025011-03/RR/NCRR NIH HHS; W81XWH-08-1-0341//PHS HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: 2-Picoline-borane: a non-toxic reducing agent for oligosaccharide labeling by reductive amination.
Next Document: Estimating false discovery rates for peptide and protein identification using randomized databases.