TY  - BOOK
AU  - Peng,Roger D
AU  - Dominici, Francesca
TI  - Statistical methods for environmental epidemiology with R: a case study in air pollution and health 
SN  - 9780387781662
U1  - 363.7392 
PY  - 2008///
CY  - New York
PB  - Springer
KW  - Air
KW  - Pollution
KW  - Mathematical models
KW  - Environmental health
KW  - R (Computer program language)
N1  - 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. The book will be useful to statisticians, epidemiologists, and graduate students working in the area of air pollution and health and others analyzing similar data. The authors describe the different existing approaches to statistical modeling and cover basic aspects of analyzing and understanding air pollution and health data. The case studies in each chapter demonstrate how to use R to apply and interpret different statistical models and to explore the effects of potential confounding factors. A working knowledge of R and regression modeling is assumed. In-depth knowledge of R programming is not required to understand and run the examples
ER  -