{"product_id":"statistical-methods-for-environmental-epidemiology-with-r-a-case-study-in-air-pollution-and-health-use-r-0387781668","title":"Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0387781668\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Peng, Roger D.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eAs 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 methods for the estimation for air pollution health e ects. Our experience has convinced us that the application of modern s- tistical methodology in a reproducible manner can bring to bear subst- tial bene ts to policy-makers and scientists in this area. We believe that the methods described in this book are applicable to other areas of environmental epidemiology, particularly those areas involving spatial{temporal exposures.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51824044474656,"sku":"NEW0387781668","price":90.06,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/51Uc5txDIOL.jpg?v=1781207058","url":"https:\/\/miakarts.com\/products\/statistical-methods-for-environmental-epidemiology-with-r-a-case-study-in-air-pollution-and-health-use-r-0387781668","provider":"Miakarts Books","version":"1.0","type":"link"}