Biostatistics for Human Genetic Epidemiology 2018 Edition Contributor(s): Chan, Bertram K. C. (Author) |
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ISBN: 3319937901 ISBN-13: 9783319937908 Publisher: Springer OUR PRICE: $208.99 Product Type: Hardcover Published: November 2018 |
Additional Information |
BISAC Categories: - Medical | Genetics - Medical | Epidemiology - Science | Life Sciences - Molecular Biology |
Dewey: 570.151 |
Series: Advances in Experimental Medicine and Biology |
Physical Information: 0.9" H x 7.4" W x 10.2" (2.00 lbs) 355 pages |
Descriptions, Reviews, Etc. |
Publisher Description: The book illustrates how biostatistics may numerically summarize human genetic epidemiology using R, and may be used successfully to solve problems in quantitative Genetic Epidemiology
Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related human genetic epidemiology,with R codes illustrations for various examples.
This clear and concise book covers human genetic epidemiology, using R in data analysis, including multivariate data analysis. It examines probabilistic and statistical theories for modeling human genetic epidemiology - leading the readers through an effective epidemiologic model, from simple toadvanced levels. Classical mathematical, probabilistic, and statistical theory are thoroughly discussed and presented. This book also presents R as a calculator and using R in data analysis.Additionally, it covers Advanced Human Genetic Data Concepts, the Study of Human Genetic Variation, ManhattanPlots, as well as the Procedures for Multiple Comparison. Numerous Worked Examples are provided for illustrations of concepts and real-life applications.
Biostatistics for Human Genetic Epidemiology is an ideal reference for professionals and students in Medicine (particularly in Preventive Medicine and Public Health Medical Practices), as well as in Genetics, Epidemiology, andBiostatistics. |