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: xAs above, but allow correlation between the random slopes and interceptsmixed y x || lev2: x, covariance(unstructured)Three-level model with random intercepts bylev2andlev3forlev2nested withinlev3mixed y x || lev3: || lev2:Crossed-effects model with two-way crossed effects by factorsaandbmixed y x || _ || b.
effects. For a linear model without random effects with independent and identically distributed (i.i.d.) errors, the distributions of the test statistics for fixed effects are tdistributions with the residual DF. For other mixed-effects models, this method typically leads to poor approximations
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