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Krokový klinový clusterový randomizovaný dizajn×Analýza prerušovaných časových radov (ITS)×
OdborKauzálna inferenciaKauzálna inferencia
RodinaRegression modelRegression model
Rok vzniku20072002
TvorcaHussey and HughesWagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)
TypPhased implementation trial designQuasi-experimental segmented regression
Pôvodný zdrojHemming, K., Haines, T. P., Chilton, P. J., Girling, A. J., & Lilford, R. J. (2015). The stepped wedge cluster randomised trial: rationale, design, analysis, and reporting. British Medical Journal, 350, h391. 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 ↗
Ďalšie názvySWCRT, SW-CRT, Stepped Wedge DesignITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi
Príbuzné35
ZhrnutieA stepped wedge cluster randomized trial is an experimental design where clusters (e.g., schools, hospitals, communities) are randomized to receive an intervention in a phased, staggered manner over time. First formally described by Hussey and Hughes in 2007, this design combines the benefits of cluster randomization with a time-stepped implementation strategy. It is particularly useful for evaluating the effectiveness of interventions in real-world healthcare and public health settings.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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ScholarGatePorovnať metódy: Stepped Wedge Cluster Randomized Trial · Interrupted Time Series. Získané 2026-06-19 z https://scholargate.app/sk/compare