Statistical methods for environmental epidemiology with R : a case study in air pollution and health / Roger D. Peng and Francesca Dominici
Material type:
TextPublication details: New York : Springer, 2008Description: ix, 144 p. 24 cmISBN: - 9780387781662
- 363.7392 PEN
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
Book
|
Calcutta | 363.7392 PEN (Browse shelf(Opens below)) | Available | IIMC-127366 |
Browsing Calcutta shelves Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
No cover image available | ||
| 363.7392 KEM Global environmental issues : | 363.7392 KLA Economic instruments for air pollution control / | 363.7392 MOW Air pollution and control / | 363.7392 PEN Statistical methods for environmental epidemiology with R : | 363.7392 REI Costs of air pollution control : | 363.7392 SOS Particulate air pollution : | 363.7392 TUR Earth under siege : |
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.
There are no comments on this title.