Michael Law

 

 


 

This course will be instructed by Michael Law, an Associate Professor at the Centre for Health Services and Policy Research, School of Population and Public Health (SPPH) at the University of British Columbia. His research on pharmaceutical policy regularly uses both interrupted time series and regression discontinuity designs, and he has taught the topic internationally. Michael received his PhD in Health Policy with a specialization in Statistics and Evaluative Sciences from Harvard University. At UBC, he has completed the Faculty Certificate Program on the Scholarship of Teaching and Learning and is a recipient of the Cortland MacKenzie Teaching Prize, awarded for the highest teaching evaluations within SPPH.

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Feb 15th 2017

A comprehensive course on conducting and presenting policy evaluations using interrupted time series analysis. Interrupted time series analysis and regression discontinuity designs are two of the most rigorous ways to evaluate policies with routinely collected data. ITSx comprehensively introduces analysts to interrupted time series analysis (ITS) and regression discontinuity designs (RD) from start to finish, including definition of an appropriate research question, selection and setup of data sources, statistical analysis, interpretation and presentation, and identification of potential pitfalls.

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