Li-B-pvalueRRSPL2006.pdf (143.74 kB)
The p-values of the hypothesis testing about relative risks
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.
History
School
- Business and Economics
Department
- Business
Published in
Statistics & Probability LettersVolume
76Issue
(16)Pages
1731 - 1734Citation
LI, B., 2006. The p-values of the hypothesis testing about relative risks. Statistics and Probability Letters, 76 (16), pp. 1731-1734Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publication date
2006Notes
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/S0167715206001271ISSN
0167-7152Publisher version
Language
- en