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Fixed Effects:
1) effects of well-defined categories
2) the results helps make inferences at the population level
ex: In repeated measures, more than one (identical) measurement is taken on the same individual. The "subject" is fixed.
Random Effects:
1) the levels we observe in that group are samples from a larger population
2) the results helps make inferences at the individual level
ex: If data are collected from different medical centers, “center” might be thought of as random.
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