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 Faculty and tutors
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One ‘live’ question and answer session for each module with module leads
How It Works
Course Dates
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

Module Lead
Andrew Briggs

Module Lead
Karl Claxton

Module Lead
Stephen Palmer

Module Lead
Claire Rothery

Module Lead
Mark Sculpher

Module Lead
Alec Miners

R Tutor Lead
Nichola Naylor

Tutor Lead
Jack Williams
Fees
How to Pay
Prices
There are two price tiers available. The first (Private/commercial rate) is for individuals and those employed by commercial enterprises. The second (Public sector/academic rate) is for students or employees of academic or public sector organisations. If you wish to pay at the public sector/academic rate, we ask that you please sign up using your institutional email address. Participants employed by academic/governmental institutions/NGOs from a LMIC (World Bank definition) are offered a further 25% reduction on the public sector/academic price; please send an email to Nicola Bogle at he-evalcourses@openaudience.com to claim this discount.