A lot of people in the world of evidence appraisal use the phrase "Garbage-In Garbage-Out" (GIGO) to describe bad meta-analyses I thought I'd briefly explain what this means 1/n
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10/n So this is what we mean by GIGO. If you incorporate bad numbers into a meta-analysis, by definition the results are also bad, because the model is simply an average of the numbers you input
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11/n This is why most of the work of meta-analysis is to carefully choose the studies you use, because if your model is based on garbage the results will also be garbage
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12/n A good way to think of this for laypeople is to think of a simple, boring average Would you average out the included studies? If not, the meta-analysis probably doesn't make sense
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13/n I think the website ivmmeta is actually a brilliant teaching tool for what not to do here. 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? What would that even mean?pic.twitter.com/Cd9Bg2rWsV
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