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https://slatestarcodex.com/2020/04/07/never-tell-me-the-odds-ratio/
[Epistemic status: low confidence, someone tell me if the math is off. Title was stolen from an old Less Wrong post that seems to have disappeared – let me know if it’s yours and I’ll give you credit]
I almost screwed up yesterday’s journal club. The study reported an odds ratio of 2.9 for antidepressants. Even though I knew odds ratios are terrible and you should never trust your intuitive impression of them, I still mentally filed this away as “sounds like a really big effect”.
This time I was saved by Chen’s How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies, which explains how to convert ORs into effect sizes. Colored highlights are mine. I have followed the usual statistical practice of interpreting effect sizes of 0.2 as “small”, of 0.5 as “moderate”, and 0.8 as “large”, but feeling guilty about it.
4.8
123123 ratings
https://slatestarcodex.com/2020/04/07/never-tell-me-the-odds-ratio/
[Epistemic status: low confidence, someone tell me if the math is off. Title was stolen from an old Less Wrong post that seems to have disappeared – let me know if it’s yours and I’ll give you credit]
I almost screwed up yesterday’s journal club. The study reported an odds ratio of 2.9 for antidepressants. Even though I knew odds ratios are terrible and you should never trust your intuitive impression of them, I still mentally filed this away as “sounds like a really big effect”.
This time I was saved by Chen’s How Big is a Big Odds Ratio? Interpreting the Magnitudes of Odds Ratios in Epidemiological Studies, which explains how to convert ORs into effect sizes. Colored highlights are mine. I have followed the usual statistical practice of interpreting effect sizes of 0.2 as “small”, of 0.5 as “moderate”, and 0.8 as “large”, but feeling guilty about it.
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