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Revisiting Bias in Odds Ratios
2021-03-02
epidemiology
Title + abstract only
View on medRxiv
Show abstract
Ratio measures of effect, such as the odds ratio (OR), are consistent, but the presumption of their unbiasedness is founded on a false premise: The equality of the expected value of a ratio and the ratio of expected values. We show that the invalidity of this assumptions is an important source of empirical bias in ratio measures of effect, which is due to properties of the expectation of ratios of count random variables. We investigate ORs (unconfounded, no effect modification), proposing a corr...
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