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Interrupted Time Series Analysis for Policy Evaluation
JAMA Internal MedicineThis Guide to Statistics and Methods examines the population-level associations of guidelines for the use of doxycycline postexposure prophylaxis with sexually transmitted infection incidence.
Andrea L. Schaffer +2 more
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Challenges to validity in single‐group interrupted time series analysis
Journal of Evaluation in Clinical Practice, 2016AbstractRationale, aims and objectivesSingle‐group interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single unit of observation is studied; the outcome variable is serially ordered as a time series, and the intervention is expected to “interrupt” the level and/or trend of the time series, subsequent to its ...
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Interrupted Time Series Analysis Of Count Data With Nuisance Interruptions
Interrupted time series analysis has been used to model the effect of policy and other interventions on public health by forecasting a counterfactual time series during the intervention period using data from prior to the intervention. However, due to typically relying on a single study unit, this approach risks not adjusting for other interruptions ...Stockton, Benjamin +3 more
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Interrupted Time Series Analysis Techniques in Pharmacovigilance
2013This thesis considers an approach to evaluate the effectiveness of risk communications for prescription drugs by performing interrupted time series analysis of prescription drug volumes prior to and after the risk communication date. The paper presents methods for detecting change in the presence of autocorrelation and techniques to reduce bias in ...
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[Design and analysis of two groups interrupt time series].
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 2019Interrupted time-series (ITS) is a quasi-experimental design which evaluates the effectiveness of an intervention based on time-series outcome variables. Compared with the single group of ITS, the two groups of ITS can better control the influence of pre-interventional confounding factors and evaluate the effectiveness of the intervention.
Y, Li +5 more
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A matching framework to improve causal inference in interrupted time‐series analysis
Journal of Evaluation in Clinical Practice, 2017AbstractRationale, aims, and objectivesInterrupted time‐series analysis (ITSA) is a popular evaluation methodology in which a single treatment unit's outcome is studied over time and the intervention is expected to “interrupt” the level and/or trend of the outcome, subsequent to its introduction. When ITSA is implemented without a comparison group, the
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Robust testing of level changes in interrupted time-series analysis
Journal of Statistical Computation and Simulation, 2006Ramsey and Ramsey [Ramsey, P.P. and Ramsey, P.H., 2003, Comparing lease-squares lines for testing level changes in interrupted time-series analysis. Journal of Statistical Computation and Simulation, 73, 31–44.] have shown that a composite procedure (CP) can provide accurate tests of level changes in interrupted time-series analysis.
Patricia P. Ramsey, Philip H. Ramsey
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Statistical methods for meta-analysis of interrupted time series studies
2023An interrupted time series study is a type of non-randomised study that allows researchers to quantify the immediate and long-term impact of interruptions like public health policies. For example, the impact of a mass media campaign on HIV testing rates.
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Interrupted Time-Series Analysis
Journal of Policy Analysis and Management, 1981Stephen M. Meyer +4 more
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Interrupted time-series analysis with brief single-subject data.
Journal of Consulting and Clinical Psychology, 1993Assessing change with short time-series data is difficult because visual inference is unreliable with such data, and current statistical procedures cannot control Type I error because they underestimate positive autocorrelation. This article describes these problems and shows how they can be solved with a new interrupted time-series analysis procedure (
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