Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research

BACKGROUND: Interrupted time series (ITS) analysis is a time series regression model that aims to evaluate the effect of an intervention on an outcome of interest. ITS analysis is a quasi-experimental study design instrumental in situations where natural experiments occur, gaining popularity, partic...

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Detalles Bibliográficos
Autores principales: Travis-Lumer, Yael, Goldberg, Yair, Levine, Stephen Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652048/
https://www.ncbi.nlm.nih.gov/pubmed/36369014
http://dx.doi.org/10.1186/s12982-022-00118-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652048/
https://www.ncbi.nlm.nih.gov/pubmed/36369014
http://dx.doi.org/10.1186/s12982-022-00118-7

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