Dear List members, 

I'm forwarding details of a workshop that members of this discussion group
may be interested in. 

Best wishes, 

*******************************************************************************

Rosemary Creeser,
Research Fellow: LS User Support Programme,
Centre for Longitudinal Studies (CLS), 
Institute of Education (6th Floor), 
20 Bedford Way, 
London WC1H 0AL

Tel: +44 0207 612 6877
Email: [log in to unmask]

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                      A WORKSHOP ON
                 EVENT HISTORY ANALYSIS
                      will be held at
                         Room 102
            Department of Statistical Science
                University College London
        (see http://www.ucl.ac.uk/Stats/map.html for
                     location details)

                  7 and 8 February 2001

The Workshop will be given by Professor Jerry Lawless from
the University of Waterloo, Canada.

The Workshop is open to research students and staff from
other university departments and to researchers from outside
the university environment. It will run from 10:00am to 5:00pm
on February 7th and 10:00am to 3:00pm on February 8th. A light
lunch will be provided as well as tea and coffee during breaks.
Unfortunately, the department is not able to arrange
accommodation.

A registration fee of £30 for university based researchers and
£80 for others will be charged. Course notes, including a
list of selected references, will be provided. See below for
a course summary.

Space will be limited so advance registration is advised. If you
wish to attend, please complete the registration form at the
bottom of this email, and return it to Marion Ware at the address
given on the form.
*****************************************************************
WORKSHOP ON THE ANALYSIS OF EVENT HISTORY DATA - Jerry Lawless
--------------------------------------------------------------
Course summary:

Event history analysis deals with events which occur over time to
individuals, and has widespread application in biostatistics,
epidemiology, and other areas such as demography, economics, and
sociology. Examples of events for humans include onset of disease,
clinical outcomes related to disease or its treatment, completion of
an education program, gaining or losing employment, utilization of
health or social services, marriage, divorce, birth and death.

Survival analysis is the most familiar type of event history
analysis, and deals with the time to occurrence of some specific
event. More generally, we may want to consider the occurrence of
several types of event, relationships among the events, and factors
which influence the occurrence and timing of the events. This
workshop will provide an introduction to important types of event
history analysis, beginning with survival analysis and progressing to
the analysis of multiple events and multi-state models. The emphasis
will be on methods which can be implemented using existing software.
S-Plus will be used in the examples, but other packages  (e.g. SAS)
will be considered, and both the background and implementation of
methodology will be discussed. Applications and examples will be
drawn from bronchial disease, cancer treatment, HIV/AIDS
epidemiology, neurosurgery, and organ transplantation.

CONTENTS

1.Introduction
   1.1  Scope of Event History Analysis
   1.2  Applications
   1.3  Counting Process Notation
   1.4  Definitions and Likelihood Construction
   1.5  Remarks on Terminology
   1.6  Splus Functions Useful in EHA
   1.7  Data Structures

2.Survival Analysis
    2.1  Survival Times and Distributions
    2.2  Approaches to Modeling and Analysis
    2.3  Survival Data
    2.4  Kaplan-Meier and Nelson-Aalen Estimates
    2.5  Parametric Analysis
    2.6  Semiparametric PH Analysis (Cox Model)

3.  Multi-State Models
    3.1  Introduction
    3.2  Some Important Models
    3.3  Inference for Markov Models
    3.4  Shunt Failure Competing Risk Analysis
    3.5  Stanford Heart Transplant Analysis
    3.6  Inference for Semi-Markov Models

4.  Analysis of Multiple Events
    4.1  Some Types of Data
    4.2  Conditional or Intensity-Based Analysis
    4.3  Marginal Analysis

5.  Some Other Issues

*****************************************************************
REGISTRATION FORM
WORKSHOP ON EVENT HISTORY ANALYSIS, DEPARTMENT OF STATISTICAL
SCIENCE, UNIVERSITY COLLEGE LONDON  -  7 and 8 FEBRUARY 2001


Name:............................................................

Address:.........................................................

.................................................................

.................................................................

Tel:..................................Email address:.............

Please reserve __ place(s) on the above course.


Registration fee:       £30 for university based researchers
                        £80 for non-university based researchers

Full payment must be included with the registration form.  Cheques
should be made payable to University College London and sent to:

Ms. Marion Ware, Departmental Administrator, Department of
Statistical Science, University College London, Gower Street,
London WC1E 6BT. Tel: 020 7679 1872, Fax: 020 7383 4703, Email:
[log in to unmask]