About this Session

In this session you will learn about two underutilized tools in the quasi-experimental toolbox: regression discontinuity and interrupted time series.

Preparing for Class

  • Rashidian, A., Joudaki, H., Khodayari-Moez, E., Omranikhoo, H., Geraili, B., & Arab, M. (2013). The impact of rural health system reform on hospitalization rates in the Islamic Republic of Iran: an interrupted time series. Bulletin of the World Health Organization, 91(12), 942-949.
  • Smith, L. M., Kaufman, J. S., Strumpf, E. C., & Lévesque, L. E. (2015). Effect of human papillomavirus (HPV) vaccination on clinical indicators of sexual behaviour among adolescent girls: The Ontario Grade 8 HPV Vaccine Cohort Study. Canadian Medical Association Journal, 187(2), E74-E81.
  • Review the application activity that we will complete in class
  • Pre-class readiness assessment

Slides/Materials

Posted here after class

In-Class Activity

A. Does vaccination for HPV increase risky sexual behavior?

Smith et al. (2015) used regression discontinuity to estimate the impact of Ontario’s grade 8 HPV vaccination program on sexual behavior. Use what you’ve learned so far to identify the key details about the research design and methods.

B. Does improving access to healthcare decrease hospitalizations?

Rashidian et al. (2013) used an interrupted time series design to estimate the effect of a rural healthcare reform on hospitalization rates. How did the authors take advantage of routinely collected health system data to answer this question?


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