Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Peng, Roger D.
Titre(s) : Statistical methods for environmental epidemiology with R [Texte électronique] : a case study in air pollution and health / Roger D. Peng, Francesca Dominici
Publication : New York ; London : Springer, cop. 2008
Description matérielle : 1 ressource dématérialisée
Collection : Use R!
Note(s) : Includes bibliographical references (pages 133-142) and index
"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
Autre(s) auteur(s) : Dominici, Francesca. Fonction indéterminée
Sujet(s) : R (logiciel)
Hygiène du milieu
Logiciels
Épidémiologie
Indice(s) Dewey :
363.739 2 (23e éd.) = Pollution de l'air
Identifiants, prix et caractéristiques : ISBN 9780387781679
Identifiant de la notice : ark:/12148/cb44644020g
Notice n° :
FRBNF44644020
(notice reprise d'un réservoir extérieur)
Table des matières : 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.
