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ALLSTAT  April 2007

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Subject:

Centre for Multilevel Modelling news

From:

Hilary Browne <[log in to unmask]>

Reply-To:

Hilary Browne <[log in to unmask]>

Date:

Fri, 27 Apr 2007 12:09:30 +0100

Content-Type:

text/plain

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Dear all

Three news items from the Centre for Multilevel Modelling: 1) advanced
methods workshops (free) 2)date for MLwiN 2.1 release and 3) web site
statistics: details of our most popular pages

1) Three repeated 1-day workshops on advanced methods in multilevel
modelling  will be held at:

University of Birmingham, 12 June '07
Royal Society Of Tropical Medicine & Hygiene, London, 15 June '07
University of Bristol, 3 July '07

These workshops are FREE and include lunch and refreshments.  For more
details about these and our other workshops please see our web page:

<http://www.cmm.bristol.ac.uk/MLwiN/tech-support/workshops/index.shtml>

The Centre for Multilevel Modelling at the University of Bristol is
completing a three year ESRC supported research project developing new
methodology for fitting complex multilevel data. The research team currently
consists of Professor Harvey Goldstein, Professor Jon Rasbash, Dr Fiona
Steele and Christopher Charlton. The project has developed methodology and
associated training materials in the following areas of multilevel
modelling: structural equation models, measurement errors and multivariate
mixed response types (Normal, and categorical) at more than one level of the
data hierarchy. A full description of the research grant application can be
found at:

<http://www.cmm.bristol.ac.uk/research/Realcom/index.shtml>

The methodology builds upon that already implemented in MLwiN version 2.02.
The routines use MCMC estimation and are written as free-standing MATLAB
modules (<http://www.mathworks.co.uk/>) with graphical user interfaces for
setting up models and displaying results. There is a set of training
materials that has been written that provides an introduction to the
methodology and a guide to using the software. Applications are to a variety
of problems, including flexible prediction models, multiple imputation for
missing data in multilevel models, latent variable models for test scores,
and misclassification errors in social status data.

The MATLAB software routines (or a free standing EXE for users who do
not have a copy of MATLAB) and training materials will be available for
download for those registered for the workshops.

(Harvey Goldstein)

2) The Beta version of MlwiN 2.1: currently scheduled for release around
August 2007 but this date may be subject to change, we will keep you informed.

3) Web site statistics:  We are very pleased that our new web site launched
last autumn has proved increasingly popular.  In the last seven months we
have had over 39,000 unique visitors (based on cookie information) and more
than 150,000 page loads.  The number of visitors show a steady increase over
this time.  Professor Jon Rasbash has been delighted to see his
video/PowerPoint presentation 'Why use Multilevel Modelling' (What is it and
why you should do it) has been consistently in the top ten most
frequently-visited pages since it was published:

<http://www.cmm.bristol.ac.uk/learning-training/videos/jr-clioday_files/Default.htm>

(Internet Explorer-only at this point though more widely-compatible videos
will be coming soon)

The other most popular pages after the home page and the MLwiN page have
been relatively recent additions to the web site, all learning resources:

i) What are multilevel models and why should I use them?
<http://www.cmm.bristol.ac.uk/learning-training/multilevel-models/what-why.shtml>

ii) Types of Model
<http://www.cmm.bristol.ac.uk/learning-training/multilevel-models/types.shtml>

iii) Multilevel Structures and Classifications
<http://www.cmm.bristol.ac.uk/learning-training/multilevel-models/data-structures.shtml>

We welcome any feedback, good or bad about the web site and look forward to
providing more on-line learning materials in 2007/08.

With very best wishes

Hilary Browne
-------------------------------
Centre for Multilevel Modelling
University of Bristol
2 Priory Road
Bristol       BS8 1TX
UK

Tel: +44 (0)117 331 0804
FAX:  +44 (0)117 331 0833
email: [log in to unmask]
web: <http://www.cmm.bristol.ac.uk/>

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