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st: Regression Methods for Health Economic Evaluation
**********Apologies for cross-posting********
Regression Methods for Health Economic Evaluation
The Centre for Health Economics at the University of York is running a
three-day course on Regression Methods for Health Economic Evaluation. The
course will be held from 9th – 11th September 2008 at the University of York
and there are still a few places available.
The course is a mixture of taught modules and practical exercises. It is
intended for people currently undertaking health economic evaluations within
the pharmaceutical and medical device industries, consultancy, academia or
the health service who wish to learn how to use regression methods to
analyse individual patient-level cost, health outcome and cost-effectiveness
data.
Participants are expected to have a basic familiarity with the concepts of
cost-effectiveness analysis, descriptive statistics and regression methods.
The course will cover the use of regression methods for health economic
evaluation of both randomised and non-randomised data. In particular, the
course will focus on the use of regression methods to analyse different
types of individual patient-level data. Detailed information about the
topics covered can be found on the course’s webpage below.
Throughout the course computer-based practical exercises will be used to
show how the methods can be applied in the statistical package STATA.
Further details and booking information is available from
http://www.york.ac.uk/inst/che/training/regression.htm
Limited campus accommodation is available on request. Please book early to
avoid disappointment.
We hope that you will be interested in applying for the course or that you
may know of others within your organisation who might be interested in
attending.
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_______________________________________________________________
Andrea Manca, Ph.D.
Senior Research Fellow
Centre for Health Economics
The University of York
Alcuin College, A Block
York YO10 5DD United Kingdom
Tel: +44 (0)1904 321430
Fax: +44 (0)1904 321402
E-mail: [email protected]
Home page: http://www.york.ac.uk/inst/che/staff/manca.htm
Personal home page: http://myprofile.cos.com/am126
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* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/