Biostatistical Genetics And Genetic Epidemiology
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品牌: Robert C. ElstonJane M. OlsonLyle Palmer
基本信息出版社:Wiley; 1 (2002年5月14日)丛书名:Wiley Reference Series in Biostatistics精装:856页正文语种:英语ISBN:0471486310条形码:9780471486312商品尺寸:25.3 x 19.5 x 5.1 cm商品重量:1.9 KgASIN:0471486310商品描述内容简介Human Genetics concerns the study of genetic forces in man. By studying our genetic make-up we are able to understand more about our heritage and evolution. Some of the original, and most significant research in genetics centred around the study of the genetics of complex diseases - genetic epidemiology.
This is the third in a highly successful series of books based on articles from the Encyclopedia of Biostatistics. This volume will be a timely and comprehensive reference, for a subject that has seen a recent explosion of interest following the completion of the first draft of the Human Genome Mapping Project. The editors have updated the articles from the Human Genetics section of the EoB, have adpated other articles to give them a genetic feel, and have included a number of newly commissioned articles to ensure the work is comprehensive and provides a self-contained reference.媒体推荐"…a highly useful tool for those already engaged in research in biostatistical genetics and genetic epidemiology." (American Journal of Physical Anthropology, August 2005)"…an excellent reference guide, especially useful as an introduction to topics where the researcher is not an expert..." (Statistical Methods in Medical Research, Vol.14, No.1, 2005)"…a very useful addition to the genetic epidemiologist's bookshelf." (Journal of the American Statistical Association, June 2004)"...articles were commendably brief and informative...I expect to use this book frequently in the future..." (Short Book Reviews, 2004)"This wonderfully compiled book will be a great reference book for the genetic statisticians and epidemiologists." (Journal of Statistical Computation and Simulation, July 2003)"...the third extraction?from the comprehensive Encyclopedia of Biostatistics...a good value for statisticians with an interest in genetics." (Technometrics, Vol. 44, No. 4, November 2002)