Cargando…
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: | 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: | |
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 |
Ejemplares similares
-
Optimized segmented regression models for the transition period of intervention effects
por: Zhang, Xiangliang, et al.
Publicado: (2023) -
Population growth lags in introduced species
por: Kelly, Catherine L., et al.
Publicado: (2021) -
Lagged WQS regression for mixtures with many components
por: Gennings, Chris, et al.
Publicado: (2020) -
Long-Term Impact of COVID-19 on Hospital Visits of Rural Residents in Guangdong, China: A Controlled Interrupted Time Series Study
por: Zhong, Wenfang, et al.
Publicado: (2022) -
Introducing HPV Vaccine in Developing Countries - Addressing the Challenge
por: Mukhopadhyay, Prianka, et al.
Publicado: (2009)