Statistical methods for environmental epidemiology with R: a case study in air pollution and health
2008
Peng, R.D. 176473 | Dominici, F. 176474
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.
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This bibliographic record has been provided by Food and Agriculture Organization of the United Nations