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Title stata.com mixed — Multilevel mixed-effects linear ...

Multilevel mixed -effects linear regressionDescriptionQuick startMenuSyntaxOptionsRemarks and examplesStored resultsMethods and formulasAcknowledgmentsReferencesAlso seeDescriptionmixedfits linear mixed -effects models. These models are also known as Multilevel models orhierarchical linear models. The overall error distribution of the linear mixed -effects model is assumed tobe Gaussian, and heteroskedasticity and correlations within lowest-level groups also may be startLinear mixed -effects model ofyonxwith random intercepts bylev2mixed y x || lev2:As above, but perform restricted maximum-likelihood (REML) estimation instead of the defaultmaximum likelihood (ML) estimationmixed y x || lev2:, remlAs above, but perform small-sample inference onxusing the Kenward Roger degrees of freedom(DF) methodmixed y x || lev2:, reml dfmethod(kroger)Add random coefficients onxmixed y x || lev2.

freedom. repeated is supported only with two-level models. For more complex mixed-effects models or with unbalanced data, this method typically leads to poor approximations of the …

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