Statistical Methods for Environmental Epidemiology with R : A Case Study in Air Pollution and Health
Advances in statistical methodology and computing have played an important role in allowing researchers to more accurately assess the health effects of ambient air pollution. The methods and software developed in this area are applicable to a wide array of problems in environmental epidemiology. Thi...
Bewaard in:
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
New York, NY :
Springer New York
2008.
Cham : Springer Nature |
| Reeks: | Use R!
|
| Onderwerpen: | |
| Online toegang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Opmerking: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical Methods for Environmental Epidemiology with R, Texte imprimé, 9780387569765 • Statistical Methods for Environmental Epidemiology with R, A Case Study in Air Pollution and Health, Roger D. Peng, Francesca Dominici, 2008, New York, NY, Springer New York, 1 vol. (IX-144 p.), Use R!, 978-0-387-78166-2 |
Inhoudsopgave:
- Studies of Air Pollution and Health
- to R and Air Pollution and Health Data
- Reproducible Research Tools
- Statistical Issues in Estimating the Health Effects of Spatial Temporal Environmental Exposures.
- Exploratory Data Analyses
- Statistical Models
- Pooling Risks Across Locations and Quantifying Spatial Heterogeneity
- A Reproducible Seasonal Analysis of Particulate Matter and Mortality in the United States.