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Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions

BACKGROUND: Interrupted time series analysis is increasingly used to evaluate the impact of large-scale health interventions. While segmented regression is a common approach, it is not always adequate, especially in the presence of seasonality and autocorrelation. An Autoregressive Integrated Moving...

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Detalles Bibliográficos
Autores principales:	Schaffer, Andrea L., Dobbins, Timothy A., Pearson, Sallie-Anne
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2021
Materias:	Technical Advance
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986567/ https://www.ncbi.nlm.nih.gov/pubmed/33752604 http://dx.doi.org/10.1186/s12874-021-01235-8

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