Journal
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Volume 39, Issue 4, Pages 860-864Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/03610911003650383
Keywords
Effect size; Epidemiological study; Logistic regression; Odds ratio; Risk factor
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The odds ratio (OR) is probably the most widely used index of effect size in epidemiological studies. The difficulty of interpreting the OR has troubled many clinical researchers and epidemiologists for a long time. We propose a new method for interpreting the size of the OR by relating it to differences in a normal standard deviate. Our calculations indicate that OR=1.68, 3.47, and 6.71 are equivalent to Cohen's d=0.2 (small), 0.5 (medium), and 0.8 (large), respectively, when disease rate is 1% in the nonexposed group; Cohen's d0.2 when OR 1.5, and Cohen's d0.8 when OR5.
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