Master interrupted time series analysis and regression discontinuity designs for rigorous policy evaluation using R programming.
Master interrupted time series analysis and regression discontinuity designs for rigorous policy evaluation using R programming.
This comprehensive course teaches advanced methods for policy evaluation using interrupted time series analysis (ITS) and regression discontinuity designs (RD). Led by UBC experts, participants learn to conduct thorough policy analyses from data selection to result interpretation. The curriculum covers statistical modeling, data visualization, and practical applications across social sciences. Students gain expertise in R programming for time series analysis, preparing them to become technical experts in their organizations.
4.6
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Instructors:
English
English
What you'll learn
Master interrupted time series analysis and regression discontinuity designs
Develop expertise in data preparation and statistical modeling using R
Learn to interpret and present results for non-technical audiences
Create compelling data visualizations for policy analysis
Identify and address potential biases and methodological issues
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 5 modules in this course
This advanced course focuses on two rigorous methods for policy evaluation: interrupted time series analysis (ITS) and regression discontinuity designs (RD). The curriculum provides comprehensive training in selecting and preparing data sources, conducting statistical analyses, interpreting results, and identifying potential methodological issues. Students learn to use R programming for complex time series analysis and create compelling visualizations. The course emphasizes practical applications across various social science domains, from healthcare policy to economic interventions.
Course overview
Module 1 · 8 Hours to complete
Single series ITS
Module 2 · 8 Hours to complete
ITS with a control group
Module 3 · 8 Hours to complete
Extensions
Module 4 · 8 Hours to complete
Regression Discontinuities and Wrap-up
Module 5 · 8 Hours to complete
Fee Structure
Instructor
1 Course
Accomplished Health Policy Expert and Researcher at UBC
Dr. Michael Law is a Professor and Canada Research Chair in Access to Medicines at the University of British Columbia's School of Population and Public Health, where his groundbreaking research focuses on pharmaceutical policy and access to medicines. After completing his PhD in Health Policy from Harvard University and a post-doctoral fellowship at Harvard Medical School, he has built an impressive career combining academic excellence with practical policy impact. His research portfolio, supported by over $2.5 million in funding including CIHR grants, spans multiple countries including Canada, Rwanda, Uganda, Namibia, and Colombia. A graduate of the London School of Economics (MSc) and McMaster University's Arts & Sciences Program (BA&Sc), Law has published extensively in leading medical journals, with his work featured in prestigious media outlets like New Scientist, Forbes, The New York Times, and USA Today. His achievements include the Labelle Lectureship at McMaster University, the 2011 Paper of the Year Award from the Canadian Institute for Health Services and Policy Research, a CIHR New Investigator Award, and a Michael Smith Foundation for Health Research Scholar Award. At UBC, he excels in teaching pharmaceutical policy, health insurance, and healthcare systems, earning the Cortland MacKenzie Teaching Prize for outstanding teaching evaluations in the School of Population and Public Health.
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4.6 course rating
5 ratings
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