Interrupted Time Series and its applications

Interrupted Time Series (ITS) is a powerful quasi-experimental time series tool for evaluating temporal effects of interventions on an outcome of interest.

In this webinar we will provide an introduction to regression models with autocorrelated residuals and interrupted time series analysis using segmented regression and rational functions.

Administrative data will be used for illustrating these methods.