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Regression modelQuasi-experimental / causal inference

Heterogen Behandlingseffekt Avbrutt Tidsserie (HTE-ITS)

Heterogen Behandlingseffekt Avbrutt Tidsserie (HTE-ITS) utvider standard ITS-design for å avdekke om en intervensjons effekt på en tidsserie systematisk varierer mellom undergrupper eller som respons på enhetsnivå-moderatorer. Der ordinær ITS gir et enkelt estimat for nivåendring og endring i trend, legger HTE-ITS til interaksjonstermer for en modererende variabel, og avslører hvem som drar mer eller mindre nytte av intervensjonen, og hvor mye.

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  1. 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
  2. Kontopantelis, 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: 10.1136/bmj.h2750

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ScholarGate. (2026, June 3). Heterogeneous Treatment Effect Interrupted Time Series Analysis. ScholarGate. https://scholargate.app/no/causal-inference/heterogeneous-treatment-effect-interrupted-time-series

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ScholarGateHeterogeneous Treatment Effect Interrupted Time Series (Heterogeneous Treatment Effect Interrupted Time Series Analysis). Hentet 2026-06-15 fra https://scholargate.app/no/causal-inference/heterogeneous-treatment-effect-interrupted-time-series · Datasett: https://doi.org/10.5281/zenodo.20539026