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for those of you who have ever read a meta-analysis or performed a meta-analysis youll know that one of the first decisions you need to make is whether to use whats called a fixed effect model or the random effects model there are two areas of meta-analysis that are probably very poorly understood and this is one of them the other one were going to talk about later today were tomorrow which is I squared but this is something where youll see many people that are writing a meta-analysis make a very common mistakes let me explain to you how things should be done Ill explain to you what the mistake isnt how to avoid it welcome to this lecture on fixed effect models versus random effects models in meta-analysis this is Michael Bernstein and this lecture is one in a series this talk is based on a paper that we published in the journal research synthesis methods if you have access to that paper through your university or hospital you can download it directly if not send me a note and