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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| 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 |