Methodenbewijsdossier

Panel Data Interrupted Time Series

Panel Data Interrupted Time Series (panel ITS) is a quasi-experimental method that estimates the causal effect of an intervention using repeated observations from multiple units over time. By exploiting variation across both units and time periods, it provides stronger causal identification than single-unit ITS, detecting changes in the level and slope of the outcome trajectory immediately following a clearly dated intervention.

Sources recorded, not reviewed

Bronrecord

Citaten letterlijk overgenomen uit het bronrecord van de methode. Hieruit wordt geen verificatie op claimniveau afgeleid.

Panel Data Interrupted Time Series Analysis

Taxonomisch methodendossier · regression-model / causal-inference

Lopez Bernal, J., 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 10.1093/ije/dyw098
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin. · ISBN 978-0395615560

Volledige methode openen

Gecureerde claims

Claims opgeslagen in het bewijsregister, elk met zijn eigen beoordeling.

Nog geen gecureerde claims

Deze weergave verzint geen claimbeoordeling als het register er geen heeft.

Gerelateerde methoden

Gegenereerd uit de methodegraaf en getoond als machinaal voorgestelde relaties — er wordt geen bewijsclaim afgeleid.

Same method familyDifference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Same method familyInterrupted Time Seriesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Difference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSynthetic Control Methodmachine-suggested · Relational suggestion, not evidence.