MLwiN is a statistical software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMCâ€¦Â (More)

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Highly Cited

2013

Highly Cited

2013

We illustrate how to fit multilevel models in the MLwiN package seamlessly from within Stata using the Stata program runmlwin. Weâ€¦Â (More)

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2011

2011

Multiple imputation is becoming increasingly established as the leading practical approach to modelling partially observed dataâ€¦Â (More)

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2009

2009

- Jeffrey Dorman
- 2009

This paper reports the partitioning of variance in scale scores from the use of three classroom environment instruments. Dataâ€¦Â (More)

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Review

2005

Review

2005

This article reviews several basic statistical tools needed for modeling data with sampling weights that are implemented in Mplusâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Scott M. Montgomery
- European Journal of Epidemiology
- 2004

This book provides a practical introduction to some important aspects of longitudinal data analysis for both observational andâ€¦Â (More)

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2003

2003

Note: With release 2.0 nearly all of the MLn commands were incorporated into the graphical interface. Most standard analyses canâ€¦Â (More)

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2003

2003

- Fiona Steele
- 2003

a three-day introductory workshop to multilevel modelling using MLwiN will take place at the University of Bristol. If you planâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

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1999

1999

It is far from unusual for a multilevel model to contain a regressor that can be regarded as an endogenous variable. The termâ€¦Â (More)

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1998

1998

Under phase II of the Analysis of Large and Complex Datasets (ALCD) programme of the Economic and Social Research Council (ESRCâ€¦Â (More)

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