Statistical methods for environmental epidemiology with R a case study in air pollution and health by Roger D. Peng

Cover of: Statistical methods for environmental epidemiology with R | Roger D. Peng

Published by Springer in New York, London .

Written in English

Read online

Subjects:

  • Air -- Pollution -- Mathematical models.,
  • Environmental health.,
  • R (Computer program language)

Edition Notes

Includes bibliographical references (p.[133]-142) and index.

Book details

StatementRoger D. Peng, Francesca Dominici.
SeriesUse R!
ContributionsDominici, Francesca.
Classifications
LC ClassificationsTD883.1 .P46 2008
The Physical Object
Paginationix, 144 p. :
Number of Pages144
ID Numbers
Open LibraryOL22981353M
ISBN 100387781668, 0387781676
ISBN 109780387781662, 9780387781679
LC Control Number2008928295

Download Statistical methods for environmental epidemiology with R

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 : Springer-Verlag New York.

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.

Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!) - Kindle edition by Peng, Roger D., Dominici, Francesca.

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2 Statistical Methods for Environmental Epidemiology with R the rest of the book is mostly about traditional statistical model building, although by using these new tools. Chapter 4 is a brief discussion of statistical issues in estimating health e ects from expo- sure by: Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science.

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Statistical Methods for Environmental Epidemiology with R 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.

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BOOK REVIEWS. Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health by PENG, R. and DOMINICI, F. David Buckeridge. Department of Epidemiology, Biostatistics, and Occupational Health McGill University Montreal, Quebec, Canada.

Search for more papers by this author. David Buckeridge. This book is essentially about learning R with an emphasis on Epicalc. Readers should have some background in basic computer usage.

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Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health Use R!: : Peng, Roger D.: Books. R.D. Peng, F. Dominici Statistical Methods for Environmental Epidemiology with R A Case Study in Air Pollution and Health Series: Use R.

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. Statistical Methods for Environmental Epidemiology with R 作者: Roger D.

Peng 出版社: Springer 副标题: A Case Study in Air Pollution and Health 出版年: 页数: 定价: GBP 装帧: Paperback ISBN: statistical methods for environmental epidemiology with r a case study in air pollution and health author roger d peng published on august Posted By Dan BrownLibrary TEXT ID af Online PDF Ebook Epub Library the research you need on researchgate statistical methods in environmental epidemiology aug 27 posted by stephenie meyer public library text id.

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Book Description. Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological Studies. Spatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling.

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terms of R users, including: environmental statistics, econometrics, medical and public health applications, and bioinformatics, among others.

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The essential role of epidemiology is to improve the health of populations. This text-book provides an introduction to the basic principles and methods of epidemiology.

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The purpose of this book. Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality, myocardial infarction or .

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