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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1481564/ https://ncbi.nlm.nih.gov/pubmed/16579864 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-6-16 |
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