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... > social science subjects > health and social care > medical science > medicine > clinical medicine > medical decision making > biostatistics and clinical epidemiology > fixed versus random effects
... > other subjects > natural sciences > life sciences > medical science > medicine > clinical medicine > medical decision making > biostatistics and clinical epidemiology > fixed versus random effects

Preferred term

fixed versus random effects  

Definition

  • The terms fixed and random are commonly used in the regression modeling literature and pertain to whether particular coefficients in a model are treated as fixed or random values. A statistical model is classified as a fixed effects model if all independent variables are regarded as fixed, a random effects model if all independent variables are regarded as random, and a mixed effects model if the independent variables constitute a mix of fixed and random effects. [Source: Encyclopedia of Medical Decision Making; Fixed versus Random Effects]

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https://concepts.sagepub.com/social-science/concept/fixed_versus_random_effects

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