Author: Roger D. Peng
Edition: 2008
Publisher: Springer
Binding: Paperback
ISBN: 0387781668
Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
The number of studies of air pollution and various health outcomes has increased dramatically in recent years. Medical books Statistical Methods for Environmental Epidemiology with R. Medical books Statistical Methods For Environmental Epidemiology With R: A Case Study In Air P. author francesca dominici author roger d peng format paperback language english publication year 01 08 2008 series use r subject medicine subject 2 medical nursing ancillary services title statistical methods for environmental epidemiology with ra case study in air pollution and health author peng roger d dominici francesca publisher springer verlag publication date jul 25 2008 pages 144 binding paperback edition 1 st dimensions 6 25 wx 9 00 hx 0 50 d isbn 0387781668 subject medical biostatis
Download link for Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health
author francesca dominici author roger d peng format paperback language english publication year 01 08 2008 series use r subject medicine subject 2 medical nursing ancillary services title statistical methods for environmental epidemiology with ra case study in air pollution and health author peng roger d dominici francesca publisher springer verlag publication date jul 25 2008 pages 144 binding paperback edition 1 st dimensions 6 25 wx 9 00 hx 0 50 d isbn 0387781668 subject medical biostatis
Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (2008 Edition) by Peng, Roger D./ Dominici, Francesca [Paperback]
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Categories: Air->Pollution->Mathematical models, Environmental health, R (Computer program language. Contributors: Roger D. Peng - Author. Format: NOOK Study
Medical Book Statistical Methods for Environmental Epidemiology with R
Basic aspects of analyzing and understanding air pollution and health data are covered as well as an overview of the different approaches to statistical modeling.
