Accessibility statement

Decision Analysis for Health Technology Assessment - ECO00064M

« Back to module search

  • Department: Economics and Related Studies
  • Module co-ordinator: Prof. Nigel Rice
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2021-22

Module summary

To build on module ECO00050M (Introduction to Economic Health Care Evaluation) and module ECO00053M (Advanced Topics in Economic Evaluation) in particular. The module describes the purpose of decision analytic modelling and the methods used to undertake decision analytic modelling.

Module will run

Occurrence Teaching cycle
A Summer Term 2021-22

Module aims

To build on module ECO00050M (Introduction to Economic Health Care Evaluation) and module ECO00053M (Advanced Topics in Economic Evaluation) in particular. The module describes the purpose of decision analytic modelling and the methods used to undertake decision analytic modelling.

Module learning outcomes

Upon successful completion of the module you should be able to:

  • Explain and discuss the methodological problems associated with the economic analysis of patient level data carried out alongside randomised clinical trials (RCTs).
  • Explain the rationale for decision modelling in economic evaluation and describe its terminology.
  • Be able to structure and analyse decision problems using a decision tree and implementation of a Markov model.
  • Understand the potential role of other modelling approaches such as individual patient sampling, semi Markov models and dynamic infectious disease models.
  • Identify model inputs which are subject to second order uncertainty and select appropriate probability distributions to characterise this uncertainty.
  • Interpret the results of a Monte Carlo simulation including cost-effectiveness acceptability curves.
  • Understand and implement modelling methods for diagnostic technologies.

Assessment

Task Length % of module mark
Open Examination (7 day week)
Open Exam
N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
Open Examination (7 day week)
Open Exam
N/A 100

Module feedback

Feedback will be given in line with University guidelines

Indicative reading

Decision modelling for health economic evaluation Briggs, Andrew; Claxton, Karl ; Sculpher, Mark J.

Oxford : Oxford University Press 2006



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.