Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
By Evangelos Kontopantelis, T. Doran, D. Springate, Iain E. Buchan, David Reeves. British medical journal, 2015
842 citations recorded by the source corpus.
Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples
Subfields: Economics and Econometrics, General Health Professions, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/be424d0f0fb4cd50bd665d345f6c7f384b1c205f
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In Economics and Econometrics
In General Health Professions
In Statistics and Probability
Citations in the corpus
- Interrupted time series regression for the evaluation of public health interventions: a tutorial (2016, background): “Further methodological papers have described some of the more specific in-depth modelling techniques that may be employed by those familiar with the analysis of time series data.(14,15) Nevertheless, there is a lack of introductory guidance for those implementing an ITS evaluation for the first time”