Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Biology and Health (SBH)
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Table of contents (13 chapters)
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Front Matter
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Background
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Front Matter
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Single-Marker Analysis for Case-Control Data
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Front Matter
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Single-Marker Analysis for Case-Control Data
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Multi-marker Analyses for Case-Control Data
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Front Matter
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Multi-Marker Analyses for Case-Control Data
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Topics Related to Analysis of Case-Control Association
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Front Matter
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Topics Related to Analysis of Case-Control Association
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Introduction to Genome-Wide Association Studies
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Front Matter
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Introduction to Genome-Wide Association Studies
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Introduction to Family-Based Association Studies
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Front Matter
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Introduction to Family-Based Association Studies
Keywords
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.Â
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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.Â
Authors and Affiliations
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
Bibliographic Information
Book Title: Analysis of Genetic Association Studies
Authors: Gang Zheng, Yaning Yang, Xiaofeng Zhu, Robert C. Elston
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-1-4614-2245-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-4614-2244-0Published: 10 January 2012
Softcover ISBN: 978-1-4899-9599-5Published: 23 February 2014
eBook ISBN: 978-1-4614-2245-7Published: 11 January 2012
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: XXII, 414
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistics, general