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Analysis of Genetic Association Studies [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Zheng, Gang, Yang, Yaning, Zhu, Xiaofeng, Elston, Robert C.
  • Author:  Zheng, Gang, Yang, Yaning, Zhu, Xiaofeng, Elston, Robert C.
  • ISBN-10:  1489995994
  • ISBN-10:  1489995994
  • ISBN-13:  9781489995995
  • ISBN-13:  9781489995995
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  359
  • Pages:  359
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2014
  • Pub Date:  01-Feb-2014
  • SKU:  1489995994-11-SPRI
  • SKU:  1489995994-11-SPRI
  • Item ID: 100717233
  • List Price: $99.99
  • Seller: ShopSpell
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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.?

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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.?

This reference book for the analysis of genetic association studies makes an ideal companion to graduate-level students. In addition to providing derivations, the book deploys real examples and simulations to illustrate its step-by-step applications.

Introduction to statistics. - Population genetics. - Introduction to epidemiology. - Single-marker analysis for unmatched case-control data. - Single- marker analysis for matched case-control data. - Bayesian analysis for case-control data. - Robust procedures. - Advanced topics I. - Haplotype analysis for case-control data. - Gene- gene interaction. - Advanced topics II. - Genome-wide association studes (GWAS). - Cost -effictient two-stage designs and analyses for GWAS. - Appendix. - References. - Index.

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