| Selective inference in complex research. | |
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MedLine Citation:
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PMID: 19805444 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We explain the problem of selective inference in complex research using a recently published study: a replicability study of the associations in order to reveal and establish risk loci for type 2 diabetes. The false discovery rate approach to such problems will be reviewed, and we further address two problems: (i) setting confidence intervals on the size of the risk at the selected locations and (ii) selecting the replicable results. |
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Authors:
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Yoav Benjamini; Ruth Heller; Daniel Yekutieli |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Volume: 367 ISSN: 1364-503X ISO Abbreviation: Philos Transact A Math Phys Eng Sci Publication Date: 2009 Nov |
Date Detail:
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Created Date: 2009-10-06 Completed Date: 2010-01-29 Revised Date: 2012-01-24 |
Medline Journal Info:
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Nlm Unique ID: 101133385 Medline TA: Philos Transact A Math Phys Eng Sci Country: England |
Other Details:
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Languages: eng Pagination: 4255-71 Citation Subset: IM |
Affiliation:
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Department of Statistics and Operations Research, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel. ybenja@tau.ac.il |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Data Interpretation, Statistical* Diabetes Mellitus, Type 2 / genetics Genomics Reproducibility of Results Research / methods* Risk |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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