Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Understand what decision-analytic modelling implies and its relation to prioritisation in healthcare
• Demonstrate knowledge of different types decision-analytic models and their application in health economic evaluation
• Demonstrate knowledge of the design and methods for economic analysis conducted alongside clinical trials
• Understand the importance of uncertainty and how it may affect decision making
• Understand the potential value of future research in relation to the decision making process
• Demonstrate basic knowledge of cutting-edge methods within economic evaluation

Skills

• Extract, present and analyse relevant data for the construction of decision-analytic models by conducting a systematic search of the existing literature
• Design and apply decision-analytic models for the evaluation of new interventions
• Analyse real-world data in relation to economic evaluation using statistical software
• Produce a probabilistic sensitivity analysis

Competences

• Differentiate between different types of uncertainty and assess the importance for economic evaluation
• Critically assess the methods and results of health economic evaluations based on decision-analytic modelling

Type of instruction

• Teaching varies between lectures, workshops, (group) exercises and individual study

Exam

Exams

Additional information

Please consult the Moodle page for your semester and contact the semester coordinator if you have academic questions, or the study secretary if you have administrative questions.

All other enquiries may be directed to Helene Nørgaard, secretary of the Study Board.