runmlwin : A Program to Run the MLwiN Multilevel Modeling Software from within Stata

By George Leckie, Christopher M J Charlton. 2013

486 citations recorded by the source corpus.

We illustrate how to fit multilevel models in the MLwiN package seamlessly from within Stata using the Stata program runmlwin. We argue that using MLwiN and Stata in combination allows researchers to capitalize on the best features of both packages. We provide examples of how to use runmlwin to fit continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.

Subfields: Economics and Econometrics, Genetics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/eeda821968ecf94f60fda21329b655bbb9a92123

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In Economics and Econometrics

1. Nicholas J. Timpson
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3. Sekar Kathiresan

In Genetics

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Citations in the corpus

• Polygenic prediction of weight and obesity trajectories from birth to adulthood (2019, methodology): “All trajectories were models in MLwiN version 3.01 (Charlton et al., 2019) called from Stata version 15 using the ‘‘runmlwin’’ command (Leckie and Charlton, 2013).”