{"product_id":"biostatistics-for-human-genetic-epidemiology-advances-in-experimental-medicine-and-biology-1082","title":"Biostatistics for Human Genetic Epidemiology (Advances in Experimental Medicine and Biology, 1082)","description":"\u003cp\u003e\u003cstrong\u003eBook info:\u003c\/strong\u003e Biostatistics for Human Genetic Epidemiology (Advances in Experimental Medicine and Biology, 1082) (Hardcover, 371 pages) – Springer, 2018. Language: English.\u003c\/p\u003e\n \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve\u003c\/p\u003e\u003cp\u003eproblems in quantitative Genetic Epidemiology\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBiostatistics for Human Genetic Epidemiology provides \u003c\/p\u003e\u003cp\u003estatistical methodologies and R recipes for human genetic \u003c\/p\u003e\u003cp\u003eepidemiologic problems. It begins by introducing all the \u003c\/p\u003e\u003cp\u003enecessary probabilistic and statistical foundations, before \u003c\/p\u003e moving on to topics related human genetic epidemiology, \u003cp\u003e\u003c\/p\u003e\u003cp\u003ewith R codes illustrations for various examples.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis clear and concise book covers human genetic \u003c\/p\u003e\u003cp\u003eepidemiology, using R in data analysis, including multivariate\u003c\/p\u003e\u003cp\u003edata analysis. It examines probabilistic and statistical theories \u003c\/p\u003e\u003cp\u003efor modeling human genetic epidemiology – leading the readers \u003c\/p\u003e through an effective epidemiologic model, from simple to\u003cp\u003e\u003c\/p\u003e\u003cp\u003eadvanced levels. Classical mathematical, probabilistic, and \u003c\/p\u003e\u003cp\u003estatistical theory are thoroughly discussed and presented. This \u003c\/p\u003e book also presents R as a calculator and using R in data analysis.\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAdditionally, it covers Advanced Human Genetic Data \u003c\/p\u003e Concepts, the Study of Human Genetic Variation, Manhattan \u003cp\u003e\u003c\/p\u003e\u003cp\u003ePlots, as well as the Procedures for Multiple Comparison. \u003c\/p\u003e\u003cp\u003eNumerous Worked Examples are provided for illustrations of \u003c\/p\u003e\u003cp\u003econcepts and real-life applications.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBiostatistics for Human Genetic Epidemiology is an ideal \u003c\/p\u003e\u003cp\u003ereference for professionals and students in Medicine \u003c\/p\u003e\u003cp\u003e(particularly in Preventive Medicine and Public Health \u003c\/p\u003e Medical Practices), as well as in Genetics, Epidemiology, and \u003cp\u003e\u003c\/p\u003e\u003cp\u003eBiostatistics.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e  \n\n                                         Editorial Reviews                   From the Back Cover   This book illustrates how biostatistics may numerically summaries\u003cp\u003ehuman genetic R, and may be used successfully to solve\u003c\/p\u003e\u003cp\u003eproblems in quantitative Genetic Epidemiology\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBiostatistics for Human Genetic Epidemiology provides\u003c\/p\u003e\u003cp\u003estatistical methodologies and R recipes for human genetic\u003c\/p\u003e\u003cp\u003eepidemiologic problems. It begins by introducing all the\u003c\/p\u003e\u003cp\u003enecessary probabilistic and statistical foundations, before\u003c\/p\u003e\u003cp\u003emoving on to topics related human genetic epidemiology,\u003c\/p\u003ewith R codes illustrations for various examples.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis clear and concise book covers human genetic\u003c\/p\u003eepidemiology, using R in data analysis, including multivariate\u003cp\u003e\u003c\/p\u003e\u003cp\u003edata analysis. It examines probabilistic and statistical theories\u003c\/p\u003e\u003cp\u003efor modeling human genetic epidemiology – leading the readers\u003c\/p\u003e\u003cp\u003ethrough an effective epidemiologic model, from simple to\u003c\/p\u003e\u003cp\u003eadvanced levels. Classical mathematical, probabilistic, and\u003c\/p\u003e\u003cp\u003estatistical theory are thoroughly discussed and presented. This\u003c\/p\u003e\u003cp\u003ebook also presents R as a calculator and using R in data analysis.\u003c\/p\u003e\u003cp\u003eAdditionally, it covers Advanced Human Genetic Data\u003c\/p\u003e\u003cp\u003eConcepts, the Study of Human Genetic Variation, Manhattan\u003c\/p\u003ePlots, as well as the Procedures for Multiple Comparison. \u003cp\u003e\u003c\/p\u003e\u003cp\u003eNumerous Worked Examples are provided for illustrations of\u003c\/p\u003e\u003cp\u003econcepts and real-life applications.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBiostatistics for Human Genetic Epidemiology is an ideal\u003c\/p\u003e\u003cp\u003ereference for professionals and students in Medicine\u003c\/p\u003e(particularly in Preventive Medicine and Public Health\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMedical Practices), as well as in Genetics, Epidemiology, and\u003c\/p\u003e\u003cp\u003eBiostatistics.\u003c\/p\u003e\u003cbr\u003e           About the Author   Dr. Bertram K. C. Chan is a Lecturer at the Loma Linda University of Health in the Deparment of Epidemiology and Biostatistics. He has extensive knowledge is this field and has experience writing on this subject.                                           ","brand":"Bertram K. C. Chan","offers":[{"title":"Default Title","offer_id":46070496952554,"sku":"9783319937908","price":244.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/5301\/6298\/files\/61LHtPWBK_L._SL1500.jpg?v=1781265920","url":"https:\/\/textbookme.store\/products\/biostatistics-for-human-genetic-epidemiology-advances-in-experimental-medicine-and-biology-1082","provider":"TextbookMe","version":"1.0","type":"link"}