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

George B Leckie; Christopher M J Charlton

doi:10.18637/jss.v052.i11

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

George B Leckie, Christopher M J Charlton

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Abstract

We illustrate how to t 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 continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.

Original language	English
Number of pages	40
Journal	Journal of Statistical Software
Volume	52
Issue number	11
Early online date	21 Mar 2012
DOIs	https://doi.org/10.18637/jss.v052.i11
Publication status	Published - Mar 2013

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Rintoul, D. A. (Principal Investigator)
1/10/11 → 30/09/14
Project: Research

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title = "runmlwin: A Program to Run the MLwiN Multilevel Modeling Software from within Stata",

abstract = "We illustrate how to t multilevel models in the MLwiN package seamlessly fromwithin 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 continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.",

author = "Leckie, {George B} and Charlton, {Christopher M J}",

year = "2013",

month = mar,

doi = "10.18637/jss.v052.i11",

language = "English",

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journal = "Journal of Statistical Software",

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publisher = "University of California at Los Angeles",

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AU - Leckie, George B

AU - Charlton, Christopher M J

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N2 - We illustrate how to t multilevel models in the MLwiN package seamlessly fromwithin 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 continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.

AB - We illustrate how to t multilevel models in the MLwiN package seamlessly fromwithin 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 continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.

U2 - 10.18637/jss.v052.i11

DO - 10.18637/jss.v052.i11

M3 - Article (Academic Journal)

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VL - 52

JO - Journal of Statistical Software

JF - Journal of Statistical Software

IS - 11

ER -

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

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