Biostatistics for Human Genetic Epidemiology

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

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

advanced levels. Classical mathematical, probabilistic, and

statistical theory are thoroughly discussed and presented. This

Additionally, it covers Advanced Human Genetic Data

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

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.