Effect size quantification for interrupted time series analysis: implementation in r and analysis for covid-19 research

HIGHLIGHTS

• who: Yael Travis-Lumer from the (UNIVERSITY) have published the research work: Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research, in the Journal: (JOURNAL) of 27/02/2020
• what: This paper proposes a method and develops a user-friendly R package to quantify the effect size of an ITS regression model for continuous and count outcomes with or without seasonal adjustment. The authors aim to demonstrate how to quantify the effect size based on ITS analysis, provide an R package to quantify the effect size in . . .
  

   

  

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