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{{Infobox software
'''MLwiN''' is a [[statistical software]] package for fitting [[multilevel model]]s. It uses both [[maximum likelihood]] estimation and [[Markov Chain Monte Carlo]] (MCMC) methods. MLwiN is based on an earlier package, [[MLn]], but with a [[graphical user interface]] (as well as other additional features)<ref>
| name = MLwiN
[http://www.cmm.bristol.ac.uk/MLwiN MLwiN homepage.] Centre for Multilevel Modelling, University of Bristol.</ref>.
| screenshot =<!-- Deleted image removed: [[Image:Mainshot5.png|250px|Eviews on Windows]] -->
MLwiN represents multilevel models using [[mathematical notation]] including greek letters and multiple [[subscript]]s, so the user needs to be (or become) familiar with such notation.
| caption =
| developer = Centre for Multilevel Modelling<br>[[University of Bristol]]
| latest_release_version = 2.34
| latest_release_date = {{release date and age|2015|7|13}}
| operating_system = [[Microsoft Windows|Windows]]
| genre = [[Econometrics software]]
| license = [[Proprietary software|Proprietary]]
| website = [http://www.bristol.ac.uk/cmm/software/mlwin/ bristol.ac.uk/cmm/software/mlwin]
}}

'''MLwiN''' is a [[statistical software]] package for fitting [[multilevel model]]s. It uses both [[maximum likelihood]] estimation and [[Markov chain Monte Carlo]] (MCMC) methods. MLwiN is based on an earlier package, [[MLn]], but with a [[graphical user interface]] (as well as other additional features).<ref>
[http://www.cmm.bristol.ac.uk/MLwiN MLwiN homepage.] Centre for Multilevel Modelling, University of Bristol.</ref>
MLwiN represents multilevel models using [[mathematical notation]] including Greek letters and multiple [[subscript]]s, so the user needs to be (or become) familiar with such notation.


For a tutorial introduction to multilevel models and their applications in [[medical statistics]] illustrated using MLwiN, see Goldstein ''et al.''<ref>
For a tutorial introduction to multilevel models and their applications in [[medical statistics]] illustrated using MLwiN, see Goldstein ''et al.''<ref>
{{cite journal |last=Goldstein |first=Harvey |coauthors= Browne, William; Rasbash, Jonathan;|year=2002 |title=Multilevel modelling of medical data |journal=Statistics in Medicine |volume=21 |issue=21 |pages=3291-3315 |doi=10.1002/sim.1264}}</ref>
{{cite journal |last=Goldstein |first=Harvey |authorlink=Harvey Goldstein |author2=Browne, William |author3=Rasbash, Jonathan|year=2002 |title=Multilevel modelling of medical data |journal=Statistics in Medicine |volume=21 |issue=21 |pages=3291–3315 |doi=10.1002/sim.1264 |pmid=12375305|citeseerx=10.1.1.128.5952 }}</ref>



==References==
==References==
{{reflist}}
{{reflist}}

==External links==
*[http://www.bristol.ac.uk/cmm/software/mlwin/ Website]
*[http://www.cmm.bristol.ac.uk/learning-training/multilevel-m-software/ Multilevel Modelling Software Reviews]

{{Statistical software}}

[[Category:Statistical software]]




{{software-stub}}
{{science-software-stub}}
[[Category:statistical software]]

Latest revision as of 20:17, 28 May 2022

MLwiN
Developer(s)Centre for Multilevel Modelling
University of Bristol
Stable release
2.34 / July 13, 2015; 9 years ago (2015-07-13)
Operating systemWindows
TypeEconometrics software
LicenseProprietary
Websitebristol.ac.uk/cmm/software/mlwin

MLwiN is a statistical software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier package, MLn, but with a graphical user interface (as well as other additional features).[1] MLwiN represents multilevel models using mathematical notation including Greek letters and multiple subscripts, so the user needs to be (or become) familiar with such notation.

For a tutorial introduction to multilevel models and their applications in medical statistics illustrated using MLwiN, see Goldstein et al.[2]

References

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  1. ^ MLwiN homepage. Centre for Multilevel Modelling, University of Bristol.
  2. ^ Goldstein, Harvey; Browne, William; Rasbash, Jonathan (2002). "Multilevel modelling of medical data". Statistics in Medicine. 21 (21): 3291–3315. CiteSeerX 10.1.1.128.5952. doi:10.1002/sim.1264. PMID 12375305.
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