Transcription of Title stata.com mixed — Multilevel mixed-effects linear ...
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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.
of the unknown sampling distributions of test statistics for complex linear mixed-effect models. This method is supported only with REML estimation. kroger, dfopts implements theKenward and Roger(1997) method, which is designed to approximate unknown sampling distributions of test statistics for complex linear mixed-effects models.
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