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Biostatistics for Human Genetic Epidemiology

Part of the Advances in Experimental Medicine and Biology Book Series (volume 1082)

DOI: 10.1007/978-3-319-93791-5

ISBN: 978-3-319-93790-8

Publisher: Springer International Publishing - Springer Journals

Oct 25, 2018

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Chapter 1Introduction to Human Genetic Epidemiology

Chan, Bertram K. C.

Pages: 1 –46

[Human genetic epidemiology (HGP) is concerned with a knowledge of medicine, preventive medicine, public health, and epidemiology. In the modern era of genetic medicine, HGP must be concerned with human genetic diversity including mutation and polymorphism.]
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Chapter 2Data Analysis Using R Programming

Chan, Bertram K. C.

Pages: 47 –122

[Beginning R]
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Chapter 3Applied Statistics for Human Genetics Using R

Chan, Bertram K. C.

Pages: 123 –144

[This chapter considers the fundamental concepts in the theory of probability and applied statistics in epidemiology, including the biostatistical concepts and measures in genetic association and familial aggregation studies, including:Additional Approaches in Familial Aggregation StudiesTwin...
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Chapter 4Applied Human Genetic Epidemiology

Chan, Bertram K. C.

Pages: 145 –216

[This chapter covers the study of human epidemiology, including family studies in genetic epidemiology, linkage analysis, genetic Mapping in human diseases, human genetic influences on diseases, genetic relationships in familial aggregation, and derivation of familial risk.]
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Chapter 5Human Genetic Epidemiology Using R

Chan, Bertram K. C.

Pages: 217 –341

[This chapter illustrates the biostatistical human genetics with an introduction to the T-Test, and the Manhattan Plots in statistics using Human Genetic Data concepts leading to procedures for Statistical Tests and Utilities for Genetic Association. Several R packages are chosen: iGasso,...

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Biostatistics for Human Genetic Epidemiology

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