Estimating effects of health policy interventions using interrupted time-series analyses: a simulation study

BACKGROUND: A classic methodology used in evaluating the impact of health policy interventions is interrupted time-series (ITS) analysis, applying a quasi-experimental design that uses both pre- and post-policy data without randomization. In this paper, we took a simulation-based approach to estimat...

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Detalles Bibliográficos
Autores principales: Jiang, Huan, Feng, Xinyang, Lange, Shannon, Tran, Alexander, Manthey, Jakob, Rehm, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429656/
https://www.ncbi.nlm.nih.gov/pubmed/36045338
http://dx.doi.org/10.1186/s12874-022-01716-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429656/
https://www.ncbi.nlm.nih.gov/pubmed/36045338
http://dx.doi.org/10.1186/s12874-022-01716-4

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