Overview
Teaching Methods
-
Four modules together with introductory, policy context and closing sections
-
‘Bite-size’ video presentations from members of the Faculty for each module
-
Computer-based exercises using MS Excel
-
*NEW* Alternative ‘R’-based exercise track for those already familiar with R
-
Video ‘run-through’ of each exercise by members of the Faculty
-
Online discussion forums monitored by Faculty and tutors
-
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:
-
Consider the role of decision modelling in economic evaluation to guide decision making
-
Use the basic building blocks of decision analysis such as joint and conditional probabilities and expected values
-
Implement the principles of conceptual modelling as a way of planning a model
-
Understand the strengths and weaknesses of the decision tree model and build such a model in Excel
-
Understand the strengths and weaknesses of the Markov model and build such a model in Excel
-
Build a model for a generic diagnostic test and understand how to assess the value of diagnostic information
-
Think critically about the structure of decision models in particular situations and apply these appropriately
-
Implement key generic analytic steps in decision analysis such as evidence identification and basic synthesis, sensitivity analysis and reporting results