Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research
Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research
Interrupted time series (ITS) analysis is a time series regression model that aims to evaluate the effect of an intervention on an outcome of interest. ITS analysis is a quasi-experimental study design instrumental in situations where natural experiments occur, gaining popularity, particularly due to the Covid-19 pandemic. However, challenges, including …