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Багатоперіодна перервана часова серія×Аналіз перерваних часових рядів (ITS)×
ГалузьПричинно-наслідковий висновокПричинно-наслідковий висновок
РодинаRegression modelRegression model
Рік появи2000s-20152002
Автор методуExtended from segmented regression / ITS tradition; multi-break formalization developed across epidemiology and health policy literature (2000s-2010s)Wagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)
ТипQuasi-experimental time series regressionQuasi-experimental segmented regression
Основоположне джерелоKontopantelis, E., Doran, T., Springate, D. A., Buchan, I., & Reeves, D. (2015). Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis. BMJ, 350, h2750. 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 ↗
Інші назвиmulti-period ITS, multiple-interruption ITS, segmented time series with multiple breakpoints, MITSITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi
Пов'язані55
ПідсумокMulti-period Interrupted Time Series (MITS) extends the classic ITS framework to settings where two or more interventions occur at known time points within the same series. By fitting a segmented regression with multiple breakpoints, MITS estimates the level change and slope change attributable to each intervention while controlling for the underlying secular trend and for the effects of earlier interruptions.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.
ScholarGateНабір даних
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  3. PUBLISHED
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ScholarGateПорівняння методів: Multi-period Interrupted Time Series · Interrupted Time Series. Отримано 2026-06-19 з https://scholargate.app/uk/compare