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A few places remain on this course.  Register now to avoid 
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Centre for Applied Social Survey (CASS) 

                              Supported by ESRC                     
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                SHORT COURSE:

 MULTILEVEL EVENT HISTORY ANALYSIS

Presented by Ian Diamond and Fiona Steele

Dates:      29-31 March 1999

Venue:      University of Southampton
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This course is offered under the ESRC's Analysis of Large and Complex
Datasets programme.


The course objectives are:

a)  to provide a practical introduction to discrete-time methods for 
      the multilevel analysis of hierarchical event history data. 

b)  to enable participants to analyse their own multilevel event 
      history data using relevant software.

The course content will include:

a)  Event histories and issues in their analysis.

b)  Discrete-time approach to hazard modelling.

c)   Data management for the analysis of event histories using SAS.

d)  Single-level models for single events and competing risks.

e)  Two- and three-level random intercepts models for modelling 
      single !events and competing risks.

d)  Random coefficient models.


The course will introduce the principles and practice of event history
analysis using discrete-time models.  These models include logit,
multinomial logit and multilevel extensions of these models.  The
course will have a strong practical emphasis, with regular
computer-based workshop sessions at which the participants will work
through examples and exercises using SAS and MLwiN.  The workshops aim
to provide practical experience in the preparation of data for a
multilevel discrete-time event history analysis, model fitting and
interpretation of results.


Target Audience:

The course is aimed at researchers who need to model event history
data, especially those in the social, economic, educational and
medical sciences.  A good understanding of standard statistical
methods of regression analysis and logistic models for binary
responses will be assumed.  Some familiarity with multilevel models
and event history analysis would be useful, but is not essential. Some
experience with SAS and MLwiN would be useful, but not essential.


Course Materials:

Participants will receive copies of overhead transparencies and
handouts for the computer-based workshops. 

The Instructors:

Ian Diamond is a Professor in the Social Statistics Department at the
University of Southampton His research interest include multilevel
modelling and demography.  He has published many papers using
multilevel event history methods.

Fiona Steele  is a Lecturer in Statistics and Research Methodology at
the London School of Economics.  Her research interests are in the
application of categorical data analysis, multilevel models and
discrete-time event history models in demography. 


Fee: 

300 pounds sterling (includes course materials, lunches and morning
and afternoon tea).  Because of ESRC support, a number of bursaries
are available which reduce the fee to 65 pounds sterling - applicants
must be full-time students, UK academic staff or ESRC-funded
researchers.  


To obtain registration forms and further details please contact:

Kathy Hooper
 Department of Social Statistics
 University of Southampton
 Southampton  SO17 1BJ

Tel: (01703) 594547
Fax: (01703) 593846 
 E-mail:  [log in to unmask]

Registration forms and further details may also be downloaded from
http://www.alcd.soton.ac.uk/cass/courses/

                ------------------------------------------------
 CASS is an ESRC Resource Centre hosted by  SCPR and the University of
Southampton, with the University of Surrey



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