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...

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Detalles Bibliográficos
Autores principales: Zhang, Xiangliang, Wu, Kunpeng, Pan, Yan, Zhong, Wenfang, Zhou, Yixiang, Guo, Tingting, Yin, Rong, Chen, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

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