The Use of Quantile Regression to Forecast Higher Than Expected Respiratory Deaths in a Daily Time Series: A Study of New York City Data 1987-2000

Forecasting higher than expected numbers of health events provides potentially valuable insights in its own right, and may contribute to health services management and syndromic surveillance. This study investigates the use of quantile regression to predict higher than expected respiratory deaths. D...

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Detalles Bibliográficos
Autores principales: Soyiri, Ireneous N., Reidpath, Daniel D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795678/
https://www.ncbi.nlm.nih.gov/pubmed/24147122
http://dx.doi.org/10.1371/journal.pone.0078215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795678/
https://www.ncbi.nlm.nih.gov/pubmed/24147122
http://dx.doi.org/10.1371/journal.pone.0078215

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