EPIB 622 — Advanced Health Decision Modelling

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 simulation, Bayesian model calibration, probabilistic sensitivity analysis, value of information analysis, and equity-informative modelling frameworks. Applications include disease screening, prevention, and treatment, public health strategy, and prioritization of health research.

• Credits: 3
• Faculty: Graduate Studies
• Department: Epidemiology and Biostatistics