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Évaluation de politiques par séries chronologiques interrompues×Analyse de séries chronologiques interrompues (ITS)×
DomaineInférence causaleInférence causale
FamilleRegression modelRegression model
Année d'origine1975 (intervention analysis); 2000s–2010s (policy evaluation framing)2002
Auteur d'origineBox & Tiao (1975); popularised for policy by Shadish, Cook & Campbell (2002) and Bernal et al. (2017)Wagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)
TypeQuasi-experimental causal designQuasi-experimental segmented regression
Source fondatriceBernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI ↗Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI ↗
AliasITS for policy evaluation, policy ITS, segmented regression for policy, policy impact ITSITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi
Apparentées45
RésuméInterrupted Time Series (ITS) for policy evaluation uses routinely collected aggregate time-series data to estimate the causal impact of a policy change. A segmented regression model splits the series at a known intervention date, estimating both an immediate level shift and a change in trend attributable to the policy — without requiring a randomised control group.Interrupted Time Series analysis is a quasi-experimental design that estimates the effect of a single, well-dated intervention by comparing the trajectory of an outcome before and after it occurs. Formalised as segmented regression by Wagner and colleagues (2002) and popularised as a public-health evaluation tutorial by Bernal, Cummins and Gasparrini (2017), it separates the intervention's impact into a change in level and a change in slope.
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ScholarGateComparer des méthodes: Policy Evaluation Interrupted Time Series · Interrupted Time Series. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare