Overview
Teaching Methods
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Four modules together with introductory, policy context and closing sections
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‘Bite-size’ video presentations from members of the Faculty for each module
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Computer-based exercises using MS Excel
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*NEW* Alternative ‘R’-based exercise track for those already familiar with R
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Video ‘run-through’ of each exercise by members of the Faculty
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Online discussion forums monitored by tutors
How It Works
Objectives
By the end of the course, participants will be able to:
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Model and populate a Markov model with time-dependent probabilities based on the results of parametric survival modelling
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Develop a probabilistic model to reflect parameter uncertainty and to run Monte Carlo simulation
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Present the results of a probabilistic model using net monetary benefits and cost-effectiveness acceptability curves
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Assess the expected value of perfect information
Prerequisites
Faculty

Course Lead Andrew Briggs

Course Lead Mark Sculpher
Faculty

Module Lead Claire Rothery

Module Lead Elisabeth Fenwick

Module Lead Karl Claxton
Prices
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The Private/Commercial Rate for this course is £1,450 per student.
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The Academic/Public Sector Rate for this course is £995 per student.
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NOTE: An additional 25% discount on top of the public sector/academic price is available for persons working for academic institutions, public sector or non-governmental organisations in countries defined as low or middle income (LMIC) by the World Bank. Please email Nicola Bogle at [email protected] to request access to the dedicated registration form.