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 …
public health and health service interventions. The design involves analyzing trends in the …
Interrupted time series regression for the evaluation of public health interventions: a tutorial
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 …
effectiveness of population-level health interventions that have been implemented at a …
Corrigendum to: Interrupted time series regression for the evaluation of public health interventions: a tutorial
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 …
regression model for interrupted time series (ITS) that could lead to erroneous …
Analysing interrupted time series with a control
C Bottomley, JAG Scott, V Isham - Epidemiologic Methods, 2019 - degruyter.com
Interrupted time series are increasingly being used to evaluate the population-wide
implementation of public health interventions. However, the resulting estimates of …
implementation of public health interventions. However, the resulting estimates of …
The use of controls in interrupted time series studies of public health interventions
J Lopez Bernal, S Cummins… - International journal of …, 2018 - academic.oup.com
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 …
involves a before-after comparison within a single population, rather than a comparison with …
Simulation-based power calculation for designing interrupted time series analyses of health policy interventions
OBJECTIVE: Interrupted time series is a strong quasi-experimental research design to
evaluate the impacts of health policy interventions. Using simulation methods, we estimated …
evaluate the impacts of health policy interventions. Using simulation methods, we estimated …
Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation study
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 …
of population-level interventions or exposures. However, examination of the performance of …
A robust interrupted time series model for analyzing complex health care intervention data
Current health policy calls for greater use of evidence‐based care delivery services to
improve patient quality and safety outcomes. Care delivery is complex, with interacting and …
improve patient quality and safety outcomes. Care delivery is complex, with interacting and …
Sample size and power considerations for ordinary least squares interrupted time series analysis: a simulation study
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 …
growing popularity, there is a scarcity of guidance on power and sample size considerations …
Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review
Objectives Interrupted time series (ITS) designs are frequently used in public health to
examine whether an intervention or exposure has influenced health outcomes. Few reviews …
examine whether an intervention or exposure has influenced health outcomes. Few reviews …