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Quasi-experimental study designs series-paper 7: assessing the assumptions
- Source :
- Journal of clinical epidemiology. 89
- Publication Year :
- 2015
-
Abstract
- Quasi-experimental designs are gaining popularity in epidemiology and health systems research-in particular for the evaluation of health care practice, programs, and policy-because they allow strong causal inferences without randomized controlled experiments. We describe the concepts underlying five important quasi-experimental designs: Instrumental Variables, Regression Discontinuity, Interrupted Time Series, Fixed Effects, and Difference-in-Differences designs. We illustrate each of the designs with an example from health research. We then describe the assumptions required for each of the designs to ensure valid causal inference and discuss the tests available to examine the assumptions.
- Subjects :
- Series (mathematics)
Non-Randomized Controlled Trials as Topic
Epidemiology
business.industry
05 social sciences
Instrumental variable
Interrupted time series
Popularity
3. Good health
03 medical and health sciences
0302 clinical medicine
Research Design
Causal inference
0502 economics and business
Quasi experimental study
Health care
Econometrics
Regression discontinuity design
Humans
030212 general & internal medicine
050207 economics
business
Mathematics
Subjects
Details
- ISSN :
- 18785921
- Volume :
- 89
- Database :
- OpenAIRE
- Journal :
- Journal of clinical epidemiology
- Accession number :
- edsair.doi.dedup.....93b065c85577c77c8e346a46895227c6