Open AccessWhat's the Relative Risk?
Author(s) -
Jun Zhang,
Kai Yu
Publication year - 1998
Publication title -
jama
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.688
H-Index - 680
eISSN - 1538-3598
pISSN - 0098-7484
DOI - 10.1001/jama.280.19.1690
Subject(s) - odds ratio , medicine , logistic regression , relative risk , incidence (geometry) , confidence interval , odds , population , rate ratio , cohort study , statistics , demography , mathematics , environmental health , geometry , sociology
Logistic regression is used frequently in cohort studies and clinical trials. When the incidence of an outcome of interest is common in the study population (>10%), the adjusted odds ratio derived from the logistic regression can no longer approximate the risk ratio. The more frequent the outcome, the more the odds ratio overestimates the risk ratio when it is more than 1 or underestimates it when it is less than 1. We propose a simple method to approximate a risk ratio from the adjusted odds ratio and derive an estimate of an association or treatment effect that better represents the true relative risk.
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