Journal of Statistical Software · 2012 · 346 citations · 11 references
Public HealthBiostatisticsComputer ScienceStatistical ComputingStatistical ModelingData AnalysisMultilevel ModelingStatistical Software DevelopmentMultilevel Parameter EstimationMultilevel RegressionNested Multilevel Models
We illustrate how to fit multilevel models in the <b>MLwiN</b> package seamlessly from within Stata using the Stata program <code>runmlwin</code>. We argue that using <b>MLwiN</b> and Stata in combination allows researchers to capitalize on the best features of both packages. We provide examples of how to use <code>runmlwin</code> to fit continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.
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