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

@article{Gilmour2006UsingIT,
  title={Using intervention time series analyses to assess the effects of imperfectly identifiable natural events: a general method and example},
  author={Stuart Gilmour and Louisa Degenhardt and Wayne D Hall and Carolyn A Day},
  journal={BMC Medical Research Methodology},
  year={2006},
  volume={6},
  pages={16 - 16}
}
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 the response of the process to it. METHOD This paper describes how to apply ITSA to analyse the impact of unplanned events on time series when the timing of the event is not accurately known, and so… CONTINUE READING

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