| Interpreting null results from measurements with uncertain correlations: an info-gap approach. | |
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MedLine Citation:
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PMID: 20738817 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Null events-not detecting a pernicious agent-are the basis for declaring the agent is absent. Repeated nulls strengthen confidence in the declaration. However, correlations between observations are difficult to assess in many situations and introduce uncertainty in interpreting repeated nulls. We quantify uncertain correlations using an info-gap model, which is an unbounded family of nested sets of possible probabilities. An info-gap model is nonprobabilistic and entails no assumption about a worst case. We then evaluate the robustness, to uncertain correlations, of estimates of the probability of a null event. This is then the basis for evaluating a nonprobabilistic robustness-based confidence interval for the probability of a null. |
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Authors:
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Yakov Ben-Haim |
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Publication Detail:
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Type: Journal Article Date: 2010-08-25 |
Journal Detail:
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Title: Risk analysis : an official publication of the Society for Risk Analysis Volume: 31 ISSN: 1539-6924 ISO Abbreviation: Risk Anal. Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-01-04 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8109978 Medline TA: Risk Anal Country: United States |
Other Details:
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Languages: eng Pagination: 78-85 Citation Subset: IM |
Copyright Information:
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© 2010 Society for Risk Analysis. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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