Fixed-effect model
In meta-analysis: a model that calculates a pooled effect estimate using the assumption that all observed variation between studies is caused by the play of chance. Studies are assumed to be measuring the same overall effect. An alternative model is the random-effects model.
Any statistical model assuming homogeneity of effects across the studies being combined—that is, the true effect size has a common true value for all studies. In the summary estimate the variance of each study is taken into account only.
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