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Title: The p-values of the hypothesis testing about relative risks
Authors: Li, Baibing
Keywords: Logistic regression
Odds ratio
P-value
Relative risk
Issue Date: 2006
Publisher: © Elsevier
Citation: LI, B., 2006. The p-values of the hypothesis testing about relative risks. Statistics and Probability Letters, 76 (16), pp. 1731-1734
Abstract: Logistic regression analysis can provide an estimate of the odds ratio (OR), adjusted for a number of confounders. It is known that it is approximately equal to the associated adjusted relative risk (RR) if the incidence of an outcome of interest is rare in a cohort study or a clinical trial study. In this paper, we consider the incidence of an outcome that is relatively common in a study population, and investigate the relationship between the two null hypotheses that an OR and the associated RR are equal to unity. It is shown that the p-values associated with the two null hypotheses are asymptotically equivalent. This complements the existing formula for converting an adjusted estimate of the OR and the associated confidence interval to their counterparts of the RR.
Description: This article was published in the journal, Statistics and Probability Letters [© Elsevier]. The definitive version is available from: http://www.sciencedirect.com/science/article/pii/S0167715206001271
Version: Accepted for publication
DOI: 10.1016/j.spl.2006.04.011
URI: https://dspace.lboro.ac.uk/2134/9159
Publisher Link: http://www.sciencedirect.com/science/article/pii/S0167715206001271
ISSN: 0167-7152
Appears in Collections:Published Articles (Business School)

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