Statistical methods for environmental epidemiology with R : a case study in air pollution and health
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. Thi...
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oai:112.137.131.14:VNU_123-313022020-10-14T02:25:04Z Statistical methods for environmental epidemiology with R : a case study in air pollution and health Peng, Roger D. Dominici, Francesca Mathematics ; Environmental health ; Air -- Pollution -- Mathematical models. 363.7392 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 (...) 2017-04-19T07:25:36Z 2017-04-19T07:25:36Z 2008 Book 9780387781662 http://repository.vnu.edu.vn/handle/VNU_123/31302 en 144 p. application/pdf Springer |
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Mathematics ; Environmental health ; Air -- Pollution -- Mathematical models. 363.7392 |
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Mathematics ; Environmental health ; Air -- Pollution -- Mathematical models. 363.7392 Peng, Roger D. Dominici, Francesca Statistical methods for environmental epidemiology with R : a case study in air pollution and health |
description |
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 (...) |
format |
Book |
author |
Peng, Roger D. Dominici, Francesca |
author_facet |
Peng, Roger D. Dominici, Francesca |
author_sort |
Peng, Roger D. |
title |
Statistical methods for environmental epidemiology with R : a case study in air pollution and health |
title_short |
Statistical methods for environmental epidemiology with R : a case study in air pollution and health |
title_full |
Statistical methods for environmental epidemiology with R : a case study in air pollution and health |
title_fullStr |
Statistical methods for environmental epidemiology with R : a case study in air pollution and health |
title_full_unstemmed |
Statistical methods for environmental epidemiology with R : a case study in air pollution and health |
title_sort |
statistical methods for environmental epidemiology with r : a case study in air pollution and health |
publisher |
Springer |
publishDate |
2017 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/31302 |
_version_ |
1681763219544211456 |