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

JL Bernal, S Cummins… - International journal of …, 2017 - academic.oup.com
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 …

Natural experiments: an overview of methods, approaches, and contributions to public health intervention research

P Craig, SV Katikireddi, A Leyland… - Annual review of public …, 2017 - annualreviews.org
Population health interventions are essential to reduce health inequalities and tackle other
public health priorities, but they are not always amenable to experimental manipulation …

Lottery-based incentive in Ohio and COVID-19 vaccination rates

AJ Walkey, A Law, NA Bosch - Jama, 2021 - jamanetwork.com
Methods| This study was deemed not human subjects research by the Boston University
Medical Campus institutional review board. We used data from the Centers for Disease …

Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review

C Hategeka, H Ruton, M Karamouzian, LD Lynd… - BMJ global …, 2020 - gh.bmj.com
Background When randomisation is not possible, interrupted time series (ITS) design has
increasingly been advocated as a more robust design to evaluating health system quality …

[HTML][HTML] Interrupted time series analysis in drug utilization research is increasing: systematic review and recommendations

R Jandoc, AM Burden, M Mamdani… - Journal of clinical …, 2015 - Elsevier
Objectives To describe the use and reporting of interrupted time series methods in drug
utilization research. Study Design and Setting We completed a systematic search of …

A methodological framework for model selection in interrupted time series studies

JL Bernal, S Soumerai, A Gasparrini - Journal of clinical epidemiology, 2018 - Elsevier
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 …

Understanding and using time series analyses in addiction research

E Beard, J Marsden, J Brown, I Tombor, J Stapleton… - …, 2019 - Wiley Online Library
Time series analyses are statistical methods used to assess trends in repeated
measurements taken at regular intervals and their associations with other trends or events …

Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series

SL Turner, A Karahalios, AB Forbes, M Taljaard… - BMC Medical Research …, 2021 - Springer
Abstract Background The Interrupted Time Series (ITS) is a quasi-experimental design
commonly used in public health to evaluate the impact of interventions or exposures …

Methods, applications and challenges in the analysis of interrupted time series data: a scoping review

JE Ewusie, C Soobiah, E Blondal… - Journal of …, 2020 - Taylor & Francis
Objective Interrupted time series (ITS) designs are robust quasi-experimental designs
commonly used to evaluate the impact of interventions and programs implemented in …

Methods for evaluating causality in observational studies: Part 27 of a series on evaluation of scientific publications

E ALGianicolo, M Eichler, O Muensterer… - Deutsches …, 2020 - pmc.ncbi.nlm.nih.gov
Background In clinical medical research, causality is demonstrated by randomized
controlled trials (RCTs). Often, however, an RCT cannot be conducted for ethical reasons …