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Biostatisticians use "fixed" and "random" effects to respectively refer to the population-average and subject-specific effects. A random effects model is a special case of a mixed model, which assumes that the data being analysed are drawn from a hierarchy of different populations. See also: Analysis of variance, Fixed effects model, Mixed model, Multilevel model, Meta-analysis, and Best linear unbiased prediction.

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