Using intervention time series analyses to assess the effects of imperfectly identifiable natural events: a general method and example

BACKGROUND: Intervention time series analysis (ITSA) is an important method for analysing the effect of sudden events on time series data. ITSA methods are quasi-experimental in nature and the validity of modelling with these methods depends upon assumptions about the timing of the intervention and...

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Detalles Bibliográficos
Autores principales: Gilmour, Stuart, Degenhardt, Louisa, Hall, Wayne, Day, Carolyn
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1481564/
https://www.ncbi.nlm.nih.gov/pubmed/16579864
http://dx.doi.org/10.1186/1471-2288-6-16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1481564/
https://www.ncbi.nlm.nih.gov/pubmed/16579864
http://dx.doi.org/10.1186/1471-2288-6-16

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