Tags
Language
Tags
March 2024
Su Mo Tu We Th Fr Sa
25 26 27 28 29 1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
31 1 2 3 4 5 6

Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health by Roger D. Peng

Posted By: BUGSY
Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health by Roger D. Peng

Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!) by Roger D. Peng
English | July 25, 2008 | ISBN: 0387781668 | 151 Pages | PDF | 8 MB

As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing questions in environmental epidemiology have the following characteristics. Often the signal-to-noise ratio in the data is low and the targets of inference are inherently small risks.