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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...
Autores principales: | Yoneoka, Daisuke, Kawashima, Takayuki, Tanoue, Yuta, Nomura, Shuhei, Eguchi, Akifumi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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