Scientific Publications Database

Article Title: Quasi-experimental study designs series-paper 7: assessing the assumptions
Authors: Baernighausen, Till; Oldenburg, Catherine; Tugwell, Peter; Bommer, Christian; Ebert, Cara; Barreto, Mauricio; Djimeu, Eric; Haber, Noah; Waddington, Hugh; Rockers, Peter; Sianesi, Barbara; Bor, Jacob; Fink, Gunther; Valentine, Jeffrey; Tanner, Jeffrey; Stanley, Tom; Sierra, Eduardo; Tchetgen, Eric Tchetgen; Atun, Rifat; Vollmer, Sebastian
Journal: JOURNAL OF CLINICAL EPIDEMIOLOGY Volume 89
Date of Publication:2017
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. (C) 2017 Elsevier Inc. All rights reserved.