| Nonsignificance Plus High Power Does Not Imply Support for the Null Over the Alternative. | |
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MedLine Citation:
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PMID: 22391267 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This article summarizes arguments against the use of power to analyze data, and illustrates a key pitfall: Lack of statistical significance (e.g., P > .05) combined with high power (e.g., 90%) can occur even if the data support the alternative more than the null. This problem arises via selective choice of parameters at which power is calculated, but can also arise if one computes power at a prespecified alternative. As noted by earlier authors, power computed using sample estimates ("observed power") replaces this problem with even more counterintuitive behavior, because observed power effectively double counts the data and increases as the P value declines. Use of power to analyze and interpret data thus needs more extensive discouragement. |
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Authors:
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Sander Greenland |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-3-3 |
Journal Detail:
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Title: Annals of epidemiology Volume: - ISSN: 1873-2585 ISO Abbreviation: - Publication Date: 2012 Mar |
Date Detail:
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Created Date: 2012-3-6 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9100013 Medline TA: Ann Epidemiol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012 Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Epidemiology and Department of Statistics, University of California, Los Angeles, Los Angeles, CA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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