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E-raamat: Biostatistics for Human Genetic Epidemiology

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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 to





advanced 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, Manhattan





Plots, 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, and





Biostatistics.
Preface.- Dedication.- Contents.- Introduction To Human Genetic
Epidemiology.- Data Analysis Using R Programming.- Applied Statistics For
Human Genetics Using R.-  Applied Human Genetic Epidemiology.- Human Genetic
Epidemiology Using R.- References.- Subject Index.
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.