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
![](https://import.cdn.thinkific.com/448576/0LFU7oW5SMar2hWJHM7h_Andrew.png)
Course Lead Andrew Briggs
![](https://import.cdn.thinkific.com/448576/SndVCnkCROWe2MjktFPq_Mark.png)
Course Lead Mark Sculpher
![](https://import.cdn.thinkific.com/448576/dh9HF0sjRldXAiEuEo8p_Claire.png)
Module Lead Claire Rothery
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.