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A method to compute multiplicity corrected confidence intervals for odds ratios and other relative effect estimates.

Efird, Jimmy Thomas and Nielsen, Susan Searles (2008) A method to compute multiplicity corrected confidence intervals for odds ratios and other relative effect estimates. International journal of environmental research and public health, 5 (5). pp. 394-398. ISSN 1660-4601

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Article URL: http://www.mdpi.com/1660-4601/5/5/394/

Abstract

Epidemiological studies commonly test multiple null hypotheses. In some situations it may be appropriate to account for multiplicity using statistical methodology rather than simply interpreting results with greater caution as the number of comparisons increases. Given the one-to-one relationship that exists between confidence intervals and hypothesis tests, we derive a method based upon the Hochberg step-up procedure to obtain multiplicity corrected confidence intervals (CI) for odds ratios (OR) and by analogy for other relative effect estimates. In contrast to previously published methods that explicitly assume knowledge of P values, this method only requires that relative effect estimates and corresponding CI be known for each comparison to obtain multiplicity corrected CI.

Item Type: Article
Additional Information: This article is freely available in this IR and at the journal site.
DOI: 10.3390/ijerph5050394
PubMed ID: 19151434
NIHMSID: NIHMS214558
Grant Numbers: 1U01DK072493-01
Keywords or MeSH Headings: Environmental Health/statistics & numerical data; Epidemiologic Studies; Statistics as Topic/methods;
Subjects: Research Methodologies > Epidemiology
Research Methodologies > Mathematics and statistics
Depositing User: Library Staff
Date Deposited: 16 Jun 2010 16:29
Last Modified: 14 Feb 2012 14:43
URI: http://authors.fhcrc.org/id/eprint/438

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