Reflection on modern methods: a common error in the segmented regression parameterization of interrupted time-series analyses
Interrupted time-series (ITS) designs are a robust and increasingly popular non-randomized study design for strong causal inference in the evaluation of public health interventions. Read the paper at https://academic.oup.com/ije/article/50/3/1011/5937253