3/n This is the most basic form of meta-analysis - lump all the numbers together into an average. Simple, but obviously flawedpic.twitter.com/tLQTpXSdvz
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When I was eight, my brother and I would do magic by mixing carefully selected miscellaneous garden materials into water in a bucket. We had a great deal of fun. This is that, for adult children.
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It’s insane
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"Can you imagine adding up the time it takes for people to recover and the proportion of people who had symptoms and dividing by 2?" Funny that the website *clearly* does not do that
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They transform the values into odds ratios then combine with a random effects inverse variance model to generate a weighted mean. While this involves more transformations, at a theoretical level it's very similar
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Or combining outcomes. A trial of 100,000 people showing that Drug X lowered cholesterol by 1 point would be weighted heavier than a study of 100 people where Drug Y caused a 2% lower death rate.
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I think this should be a case study in every epidemiology course (if not every statistics course)
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not just mixed outcomes - they also mixed all kind of doses. When I look at the screenshot and cluster by dose, then there is no meaningful difference between doses. 12 seems as good as 48 mg. The absence of a dose-response relation is a red flag and hints at confounding effects.
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Bonjour, you can read it here: A lot of people in the world of evidence appraisal use the phrase… https://threadreaderapp.com/thread/1432576031651549187.html … Enjoy :)
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