EPIB 622 Advanced Health Decision Modelling

3 credits · Epidemiology and Biostatistics · Graduate Studies · Offered: Winter

Developing decision-analytic models to synthesize evidence and simulate the outcomes of strategies in public health and medicine, including health technology assessment and model-based economic evaluation. Methodologies include cohort state transition modelling, microsimulation, discrete event simul…

Restrictions

Not open to students who have taken EPIB 676 or EPIB 678 when the topic was “Advanced topics in decision-analytic modelling for health”. Students must be familiar with R or a similar programming language, and prior coursework in probability and statistics is required. Students who are unsure whether their background is appropriate for the course should email the instructor.

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