Research Catalog
Statistical methods for environmental epidemiology with R : a case study in air pollution and health
- Title
- Statistical methods for environmental epidemiology with R : a case study in air pollution and health / Roger D. Peng, Francesca Dominici.
- Author
- Peng, Roger D.
- Publication
- New York ; London : Springer, ©2008.
Items in the Library & Off-site
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Use in library | TD883.1 .P464 2008 | Off-site |
Details
- Additional Authors
- Dominici, Francesca.
- Description
- ix, 144 pages : illustrations; 24 cm
- Summary
- "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. 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."--Jacket.
- Series Statement
- Use R!
- Uniform Title
- Use R!
- Subject
- Air > Pollution > Mathematical models
- Environmental health
- R (Computer program language)
- Computer programs
- Computer software
- Statistics
- Air Pollution > statistics & numerical data
- Environmental Health
- Models, Statistical
- Software
- Statistics as Topic
- software
- statistics
- Statistics
- Computer software
- Computer programs
- Air > Pollution > Mathematical models
- Environmental health
- Epidemiologie
- Statistische Analyse
- Luftföroreningar > medicinska aspekter
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- Studies of air pollution and health -- Introduction 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.
- ISBN
- 9780387781662
- 0387781668
- 9780387781679
- 0387781676
- LCCN
- 2008928295
- 9780387781662
- OCLC
- ocn226974721
- 226974721
- SCSB-9233391
- Owning Institutions
- Princeton University Library