Statistical methods for environmental epidemiology with R: a case study in air pollution and health
Peng, R.D.
Dominici, F.
The number of studies of air pollution and various health outcomes has increased dramatically in recent years. Basic aspects of analyzing and understandingair pollution and health data are covered as well as an overview of the different approaches to statistical modeling. Summarizes current methodology for conducting time series analysis in environmental epidemiology R packages are available under a free software license for readers to use and adapt for their own purposes Complete national datasets on air pollution and mortality availablefor reproducing and extending the analyses in the book INDICE: Overview of the data.- Overview of statistical modeling.- Statistical issues related to air pollution and health.- Summarizing evidence of the health effects of air pollution.- Case studies.
- ISBN: 978-0-387-78166-2
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 150
- Fecha Publicación: 01/08/2008
- Nº Volúmenes: 1
- Idioma: Inglés