Quasi-experimental study designs series-paper 7: assessing the assumptions.
Till
Bärnighausen
;
Catherine
Oldenburg
;
Peter
Tugwell
;
Christian
Bommer
;
Cara
Ebert
;
Mauricio
Barreto
;
Eric
Djimeu
;
Noah
Haber
;
Hugh
Waddington
;
Peter
Rockers
;
+10 more...
Barbara
Sianesi
;
Jacob
Bor
;
Günther
Fink
;
Jeffrey
Valentine
;
Jeffrey
Tanner
;
Tom
Stanley
;
Eduardo
Sierra
;
Eric Tchetgen
Tchetgen
;
Rifat
Atun
;
Sebastian
Vollmer
;
(2017)
Quasi-experimental study designs series-paper 7: assessing the assumptions.
Journal of clinical epidemiology, 89.
pp. 53-66.
ISSN 0895-4356
DOI: 10.1016/j.jclinepi.2017.02.017
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.
Item Type | Article |
---|---|
ISI | 414887500008 |
Date Deposited | 27 Apr 2018 10:22 |
ORCID: https://orcid.org/0000-0003-3859-3342