An understanding of the uses and limitations of modelling is an essential part of the toolkit of any Health Economist who is involved with Economic Evaluation, either as an analyst or a receiver/user of economic analysis. This module goes beyond the introductory sessions in the Introduction to Health Economics module and covers the full range of model types that are appropriate for use in Health Economic analysis (such as Markov models, transmission dynamic models and Bayesian approaches to modelling).
Module Attendance Required
One week block of teaching
17th – 21st February 2014
Please note: if you are taking this module as part of the MSc Health Economics and Health Policy programme you will need to have completed the Advanced Statistics module.
Two written assignments each 50% of total weighting
1) critical appraisal of an existing model-based analysis (maximum 3000 words)
2) an exercise involving construction, analysis, and reporting of the results of a model (maximum 2000 words for the report plus the model in appropriate software)
Academics involved in the delivery of this module
Dr Pelham Barton, Reader in Mathematical Modelling and Dr Andrew Sutton, Lecturer - Health Economics Unit
Stand Alone Course
This module can be taken as a stand alone course if required. To apply, please see below. For any further information please contact Helen Evans, Programme Administrator, 0121 414 7694, firstname.lastname@example.org.
To apply for a stand alone course
Please complete the application form and make payment here.
Fee if taken as a stand alone course
2012/13 module prices - £1450 (Public Sector), £2200 (Private Sector)
This module can be taken on a stand alone basis however it will not be assessed and no credits will be awarded.
Entry requirements if taken as a stand alone course
Previous knowledge of health economics and statistics equivalent to that obtained in the Introduction to Health Economics and Statistics for Health Economics modules. All applicants will be required to discuss eligibility with the Course Director at the time of applying.