Biostatistics for Human Genetic Epidemiology

ISBN-13: 9783319937908 / Angielski / Twarda / 2018 / 355 str.

Bertram K. C. Chan

Spis treści

Preface

Dedication

Contents

 1.   Introduction To Human Genetic Epidemiology

2.   Data Analysis Using R Programming

3.  Applied Statistics For Human Genetics Using R

4.  Applied Human Genetic Epidemiology

5. Human Genetic Epidemiology Using R

References

Subject Index

O autorze

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.

Blurb

This book illustrates how biostatistics may numerically summaries

human genetic 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.