Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis

Abstract

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