Statistics for Biology and Health

Analysis of Genetic Association Studies

Authors: Zheng, G., Yang, Y., Zhu, X., Elston, R.C.

  • Authors are leading researchers and professors in the fields of Epidemiology and Biostatistics 
  • This book presents crucial analysis and information for students, researchers, and professionals
  • Illustrations provided here represent data obtained from programs developed by the authors
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eBook $84.99
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  • ISBN 978-1-4614-2245-7
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About this book

Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant.  The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. 

 

In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications.  Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge.  The organization of this work allows for both casual reference and close study. 

About the authors

Gang Zheng is a Mathematical Statistician in the Office of Biostatistics Research, National Heart, Lung and Blood Institute, National Institutes of Health. His research interests include robust procedures, statistical genetics, inference with nuisance parameters, analysis of ordered data, and clinical trials. E-mail: zhengg@nhlbi.nih.gov

Yaning Yang is a professor in the Department of Statistics and Finance at the University of Science and Technology of China. He received his Ph.D. in Statistics from the Rutgers University. His main specialty is statistical genetics and bioinformatics. E-mail: ynyang@gmail.com

Xiaofeng Zhu is a professor in Department of Epidemiology and Biostatistics, Case Western Reserve University. His research focuses on developing statistical methods in the areas of association analysis, rare variant association analysis, population stratification, admixture mapping and searching genetic variants contributing hypertension related traits. He is currently on the editorial board of Genetic Epidemiology. E-mail: xzhu1@darwin.epbi.cwru.edu

Robert Elston, Professor of Epidemiology and Biostatistics at Case Western Reserve University, has been a leader in the field of genetic epidemiology for over forty years, having developed the software package S.A.G.E. (Statistical Analysis for Genetic Epidemiology). He has authored six books on biostatistics and genetic epidemiology prior to this one. E-mail: robert.elston@cwru.edu

Table of contents (13 chapters)

  • Introduction to Probability Theory and Statistics

    Zheng, Gang (et al.)

    Pages 3-31

  • Introduction to Genetic Epidemiology

    Zheng, Gang (et al.)

    Pages 33-58

  • Single-Marker Analysis for Unmatched Case-Control Data

    Zheng, Gang (et al.)

    Pages 61-93

  • Single-Marker Analysis for Matched Case-Control Data

    Zheng, Gang (et al.)

    Pages 95-120

  • Bayes Factors for Case-Control Association Studies

    Zheng, Gang (et al.)

    Pages 121-150

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4614-2245-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4614-2244-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4899-9599-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Analysis of Genetic Association Studies
Authors
Series Title
Statistics for Biology and Health
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-2245-7
DOI
10.1007/978-1-4614-2245-7
Hardcover ISBN
978-1-4614-2244-0
Softcover ISBN
978-1-4899-9599-5
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XXII, 414
Topics