The study I am attempting and failing to read used generic inverse variance method with a random effects model… I want to understand these things, please help!
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It’s a method that just says you should give less weight to things with high variance than to things with low variance.
So if you analyze a bunch of studies done, and one says “the result is 5-10” and the other says “it’s 6-7” the second obviously has a more precise result (usually because of a larger sample size) and should be trusted more
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