<tt>runmlwin</tt>: A Program to Run the<b>MLwiN</b>Multilevel Modeling Software from within<i>Stata</i>
Journal of Statistical SoftwarePublished 1 January 2012Open access
George Leckie, Chris Charlton
Citations341
SJR quartileQ1
SJR score3.21
SNIP4.61
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
It is argued that using MLwiN and Stata in combination allows researchers to capitalize on the best features of both packages and to fit multilevel models by both maximum likelihood and Markov chain Monte Carlo estimation.
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.
Keywords
Social SciencesEconomics, Econometrics and FinanceBiochemistry, Genetics and Molecular Biology
Journal of the American Statistical AssociationHierarchical Linear Models: Applications and Data Analysis Methods
13,908 Citations2003Marie Davidian
The authors give us a thorough accounting of the core of linear model theory while having it extend into more modern extensions in many directions, and there is little attempt at motivation for parameterizations of classi cation models.
Multilevel analysis : an introduction to basic and advanced multilevel modeling
6,917 Citations1999Tom A. B. Snijders, Roel Bosker
Multilevel analysis techniques and applications
6,055 Citations2002Joop J. Hox
BiometrikaMultilevel mixed linear model analysis using iterative generalized least squares
777 Citations1986Harvey Goldstein
Handbook of Advanced Multilevel Analysis
738 Citations2011Joop J. Hox
A review of the literature on Multilevel Latent Variable Modeling, as well as some specific statistical issues, which have arisen since the publication of this book in May 2015.
Handbook of Multilevel Analysis
412 Citations2007Jan de Leeuw
This paper presents a meta-modelling study of Multilevel Models for Structural Equation Modeling, aiming at determining the optimal design for a model based on the data presented.
Journal of Statistical Software<b>REALCOM-IMPUTE</b>Software for Multilevel Multiple Imputation with Mixed Response Types
383 Citations2011James R. Carpenter, Harvey Goldstein +1 more
The REALCOM-IMPUTE software performs multilevel multiple imputation, and handles ordinal and unordered categorical data appropriately, and may be used either as a standalone package, or in conjunction with the multileVEL software MLwiN or Stata.
Oxford Review of EducationA Multilevel Analysis of School Examination Results
181 Citations1993Harvey Goldstein, Jon Rasbash +5 more
Structural Equation Modeling A Multidisciplinary JournalMultilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition)
143 Citations2013Robert S. Stawski
In the second edition of Multilevel Analysis, Tom A. B. Snijders & Roel J. Bosker present a meta-modelling framework called “Smart Modeling” that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of designing and implementing multilevel models.
Journal of Quality TechnologyMultilevel Statistical Models, 4th edition
85 Citations2011Christina M. Mastrangelo
The modeling techniques will not only benefit researchers in health and social sciences, but also those in engineering, marketing, and financial fields where complicated and correlated data appear frequently.
The Stata Journal Promoting communications on statistics and StataBayesian Analysis in Stata with WinBUGS
43 Citations2006J. Thompson, Tom Palmer +1 more
A set of ado-files are presented that enable data to be processed in Stata and then passed to WinBUGS for model fitting; finally, the results are read back into Stata for further processing.
Contraception and Religiosity in Bangladesh
34 Citations1998Sajeda Amin, Ian Diamond +1 more