This webinar is part of the Advanced Methods Webinar Series
Social policy and clinical care are filled with thresholds—people receive or don’t receive interventions or treatments based on factors such as income, test results, year of birth, and others. These thresholds are a potential source of quasi-randomization for strong observational studies. Regression discontinuity designs are a quasi-experimental research design that utilize these thresholds to derive causal estimates about the impact of interventions and policies.
In this talk, Dr. Law will provide an introduction to regression discontinuity designs and share an example from his research based on thresholds in BC’s Fair Pharmacare drug coverage program. He will discuss the counterfactual assumption in these designs, their data requirements, how to model them, how to interpret the results, and what threats to validity analysts should be concerned about.
View recorded presentation below.
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Presenter
Michael Law is the Canada Research Chair in Access to Medicines at the Centre for Health Services and Policy Research, School of Population and Public Health at The University of British Columbia.
His research focuses on the affordability of medicines, the assessment of pharmaceutical policy changes, generic drug pricing, and the use of routine data for policy evaluation. Currently, his program of research includes studies in several countries, including Canada, Rwanda, Uganda, Namibia, and Colombia. His research results have been published in several leading medical journals and have received both major research awards and significant media coverage.
