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Quasi-experimental study designs series—paper 7: assessing the assumptions
journal contribution
posted on 2017-09-01, 00:00 authored by T Bärnighausen, C Oldenburg, P Tugwell, C Bommer, C Ebert, M Barreto, E Djimeu, N Haber, H Waddington, P Rockers, B Sianesi, J Bor, G Fink, J Valentine, J Tanner, Tom StanleyTom Stanley, E Sierra, E T Tchetgen, R Atun, S VollmerQuasi-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.
History
Journal
Journal of clinical epidemiologyVolume
89Pagination
53 - 66Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
0895-4356eISSN
1878-5921Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2017, Elsevier Inc.Usage metrics
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