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a method to compute multiplicity corrected confidence intervals for odds ratios and other relative effect estimates一个方法来计算多重性校正优势比的置信区间估计和其他相对影响
Int. J. Environ. Res. Public Health 2008, 5(5) 394-398
International Journal of
Environmental Research and Public Health
ISSN 1661-7827
© 2008 by MDPI
A Method to Compute Multiplicity Corrected Confidence Intervals for
Odds Ratios and Other Relative Effect Estimates
Jimmy Thomas Efird1* and Susan Searles Nielsen2
1Division of Pediatric General and Thoracic Surgery, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave, S.9.548
(MLC 7000), Cincinnati, Ohio 45229-3039, USA
2Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Cancer Epidemiology Research Cooperative, POB
19024, 1100 Fairview Ave, North, MS M4-C308, Seattle, Washington 98109-1024, USA
*
Correspondence to Dr. Jimmy Thomas Efird. E-mail: jimmy.efird@
Received: 22 September 2008 / Accepted: 24 November 2008 / Published: 31 December 2008
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 multipli
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