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Titlebook: Statistical Methods for Environmental Epidemiology with R; A Case Study in Air Francesca Dominici,Roger D. Peng Book 2008 Springer-Verlag

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書(shū)目名稱(chēng)Statistical Methods for Environmental Epidemiology with R
副標(biāo)題A Case Study in Air
編輯Francesca Dominici,Roger D. Peng
視頻videohttp://file.papertrans.cn/877/876517/876517.mp4
概述Summarizes current methodology for conducting time series analysis in environmental epidemiology.R packages are available under a free software license for readers to use and adapt for their own purpo
叢書(shū)名稱(chēng)Use R!
圖書(shū)封面Titlebook: Statistical Methods for Environmental Epidemiology with R; A Case Study in Air  Francesca Dominici,Roger D. Peng Book 2008 Springer-Verlag
描述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. These constraints typically lead to the development and use of more sophisticated (and pot- tially less transparent) statistical models and the integration of large hi- dimensional databases. New technologies and the widespread availability of powerful computing are also adding to the complexities of scienti c inves- gation by allowing researchers to t large numbers of models and search over many sets of variables. As the number of variables measured increases, so do the degrees of freedom for in uencing the association between a risk factor and an outcome of interest. We have written this book, in part, to describe our experiences developing and applying statistical m
出版日期Book 2008
關(guān)鍵詞NMMAPS; Radiologieinformationssystem; air pollution; reproducible research; semiparametric models; time s
版次1
doihttps://doi.org/10.1007/978-0-387-78167-9
isbn_softcover978-0-387-78166-2
isbn_ebook978-0-387-78167-9Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer-Verlag New York 2008
The information of publication is updating

書(shū)目名稱(chēng)Statistical Methods for Environmental Epidemiology with R影響因子(影響力)




書(shū)目名稱(chēng)Statistical Methods for Environmental Epidemiology with R影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Statistical Methods for Environmental Epidemiology with R網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Statistical Methods for Environmental Epidemiology with R網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱(chēng)Statistical Methods for Environmental Epidemiology with R讀者反饋




書(shū)目名稱(chēng)Statistical Methods for Environmental Epidemiology with R讀者反饋學(xué)科排名




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Use R!http://image.papertrans.cn/s/image/876517.jpg
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Francesca Dominici,Roger D. PengSummarizes current methodology for conducting time series analysis in environmental epidemiology.R packages are available under a free software license for readers to use and adapt for their own purpo
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978-0-387-78166-2Springer-Verlag New York 2008
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Statistical Methods for Environmental Epidemiology with R978-0-387-78167-9Series ISSN 2197-5736 Series E-ISSN 2197-5744
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r respective areas within pediatric anesthesia and examiners for various medical specialty boards including the American Board of Anesthesiology, this self-assessment programmed text for residents, fellows, and clinicians in the field of pediatric anesthesiology offers extremely valuable advice. The
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