Distributed lag interrupted time series model for unclear intervention timing: effect of a statement of emergency during COVID-19 pandemic

BACKGROUND: Interrupted time series (ITS) analysis has become a popular design to evaluate the effects of health interventions. However, the most common formulation for ITS, the linear segmented regression, is not always adequate, especially when the timing of the intervention is unclear. In this st...

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Detalles Bibliográficos
Autores principales: Yoneoka, Daisuke, Kawashima, Takayuki, Tanoue, Yuta, Nomura, Shuhei, Eguchi, Akifumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310355/
https://www.ncbi.nlm.nih.gov/pubmed/35879679
http://dx.doi.org/10.1186/s12874-022-01662-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310355/
https://www.ncbi.nlm.nih.gov/pubmed/35879679
http://dx.doi.org/10.1186/s12874-022-01662-1

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