Interrupted time series regression for the evaluation of public health interventions: a tutorial.

ABSTRACT: 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 clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the es

SUBMITTER: Bernal JL 

PROVIDER: S-EPMC5407170 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature