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Decision Analysis for Health Technology Assessment - ECO00064M

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  • Department: Economics and Related Studies
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2024-25

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 period
A Summer Term 2024-25

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.

Indicative assessment

Task % of module mark
Essay/coursework 100

Special assessment rules

None

Additional assessment information

Reassessment will be a revise and re-submission of the original project by Week 11 of the Summer Semester for those students who achieve marks within the compensatable range.

Indicative reassessment

Task % of module mark
Essay/coursework 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 constantly explores 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. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.