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Introducing activation functions into segmented regression model to address lag effects of interventions
The interrupted time series (ITS) design is widely used to examine the effects of large-scale public health interventions and has the highest level of evidence validity. However, there is a notable gap regarding methods that account for lag effects of interventions. To address this, we introduced ac...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668529/ https://www.ncbi.nlm.nih.gov/pubmed/38001462 http://dx.doi.org/10.1186/s12874-023-02098-x |