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The course will provide an in-depth exploration of the tools utilized by health economists to address health policy issues, focusing on statistics techniques to assess public health interventions and policies. Participants will have the opportunity to delve into various methodologies, including standard regression-based approaches, instrumental methods, interrupted time series, difference-in-differences, and matching methods, using statistical packages tailored to health data.

This intensive 2-day online course offers a comprehensive overview of health economics and policy assessment. Designed for PhD students, researchers, health professionals, administrators, and executives, it provides crucial skills for data-driven health policy roles.

The curriculum covers theoretical foundations and practical applications, blending lectures, case studies, and hands-on data analysis using Stata software. Participants will learn to apply health economic tools to real-world decisions and interventions.

Key topics include:

Health economics and policy evaluation
Advanced evaluation techniques (interrupted time series, panel data, instrumental variables)
Agency problems and incentive structures in healthcare
Hospital competition and payment scheme impacts
Economic evaluation methods
Statistical analysis of health policies using patient datasets

By progressing from critical frameworks to practical analytical expertise, this course equips participants with state-of-the-art capabilities to conduct economic analyses that shape health policy and drive better population health outcomes. No prior knowledge or experience is necessary to enroll in this course.

Deadline 1st October 2024