Interrupted time series (ITS) analysis is a valuable study design for evaluating the
effectiveness of population-level health interventions that have been implemented at a …

The originally published version of this article contained an algebraic definition of the
regression model for interrupted time series (ITS) that could lead to erroneous …

Interrupted time series (ITS) is a powerful and increasingly popular design for evaluating
public health and health service interventions. The design involves analyzing trends in the …

Interrupted time series are increasingly being used to evaluate the population-wide
implementation of public health interventions. However, the resulting estimates of …

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. One …

Interrupted time series (ITS) analysis is being increasingly used in epidemiology. Despite its
growing popularity, there is a scarcity of guidance on power and sample size considerations …

OBJECTIVE: Interrupted time series is a strong quasi-experimental research design to
evaluate the impacts of health policy interventions. Using simulation methods, we estimated …

Interrupted time series analysis differs from most other intervention study designs in that it
involves a before-after comparison within a single population, rather than a comparison with …

Background Interrupted time series analysis is increasingly used to evaluate the impact of
large-scale health interventions. While segmented regression is a common approach, it is …

Background Interrupted time series (ITS) studies are frequently used to evaluate the effects
of population-level interventions or exposures. However, examination of the performance of …