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- Mixed_model abstract "A mixed model is a statistical model containing both fixed effects and random effects, that is mixed effects. These models are useful in a wide variety of disciplines in the physical, biological and social sciences.They are particularly useful in settings where repeated measurements are made on the same statistical units (longitudinal study), or where measurements are made on clusters of related statistical units. Because of their advantage to deal with missing values, mixed effects models are often preferred over more traditional approaches such as repeated measures ANOVA.".
- Mixed_model wikiPageID "5431921".
- Mixed_model wikiPageRevisionID "584250504".
- Mixed_model hasPhotoCollection Mixed_model.
- Mixed_model subject Category:Analysis_of_variance.
- Mixed_model subject Category:Regression_analysis.
- Mixed_model subject Category:Statistical_methods.
- Mixed_model type Ability105616246.
- Mixed_model type Abstraction100002137.
- Mixed_model type Cognition100023271.
- Mixed_model type Know-how105616786.
- Mixed_model type Method105660268.
- Mixed_model type PsychologicalFeature100023100.
- Mixed_model type StatisticalMethod106020737.
- Mixed_model type StatisticalMethods.
- Mixed_model comment "A mixed model is a statistical model containing both fixed effects and random effects, that is mixed effects. These models are useful in a wide variety of disciplines in the physical, biological and social sciences.They are particularly useful in settings where repeated measurements are made on the same statistical units (longitudinal study), or where measurements are made on clusters of related statistical units.".
- Mixed_model label "Gemischtes Modell".
- Mixed_model label "Mixed model".
- Mixed_model sameAs Gemischtes_Modell.
- Mixed_model sameAs m.0661r87.
- Mixed_model sameAs Q1501135.
- Mixed_model sameAs Q1501135.
- Mixed_model sameAs Mixed_model.
- Mixed_model wasDerivedFrom Mixed_model?oldid=584250504.
- Mixed_model isPrimaryTopicOf Mixed_model.