Policy Analysis Using Interrupted Time Series

Обучение бесплатное
Сертификация платная
4 часа курса
О курсе

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 selection and setup of data sources, statistical analysis, interpretation and presentation, and identification of potential pitfalls.

At the conclusion of the course, students will have all the tools necessary to propose, conduct and correctly interpret an analysis using ITS and RD approaches. This will help them position themselves as a go-to person within their company, government department, or academic department as the technical expert on this topic.

ITS and RD designs avoid many of the pitfalls associated with other techniques. As a result of their analytic strength, the use of ITS and RD approaches has been rapidly increasing over the past decade. These studies have cut across the social sciences, including:

  • Studying the effect of traffic speed zones on mortality
  • Quantifying the impact of incentive payments to workers on productivity
  • Assessing whether alcohol policies reduce suicide
  • Measuring the impact of incentive payments to physicians on quality of care
  • Determining whether the use of HPV vaccination influences adolescent sexual behavior
Policy Analysis Using Interrupted Time Series
A comprehensive course on conducting and presenting policy evaluations using interrupted time series analysis.
Что Вы изучите?
  • The strengths and drawbacks of ITS and RD studies
  • Data requirements, setup, and statistical modelling
  • Interpretation of results for non-technical audiences
  • Production of compelling figures
Michael Law
Michael Law
Associate Professor University of British Columbia
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.
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.