This book provides an overview of the methods used for investigating the health effects of air pollution and gives examples and case studies in R which demonstrate the application of those methods to real data.

This book assembles many interesting ideas from the air pollution and health literature and brings them into concrete reality through software and worked case studies.

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 available for reproducing and extending the analyses in the book Includes supplementary material: sn.pub/extras

Inhalt
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 SpatialTemporal 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.