优势比
可能性
流行病学
索引(排版)
人口学
统计
医学
心理学
数学
内科学
计算机科学
社会学
逻辑回归
万维网
作者
Henian Chen,Patricia Cohen,Sophie Chen
标识
DOI:10.1080/03610911003650383
摘要
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 d < 0.2 when OR <1.5, and Cohen's d > 0.8 when OR > 5.
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