A Statistical Approach to Genetic Epidemiology: Concepts and Applications

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Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
Release Year
2006
Book Title
A Statistical Approach to Genetic Epidemiology: Concepts and A...
ISBN
9783527312528
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
3527312528
ISBN-13
9783527312528
eBay Product ID (ePID)
51442907

Product Key Features

Number of Pages
361 Pages
Language
English
Publication Name
Statistical Approach to Genetic Epidemiology : concepts and Applications
Publication Year
2006
Subject
Life Sciences / Genetics & Genomics, Genetics
Type
Textbook
Subject Area
Science, Medical
Author
Inke R. Koenig, Andreas Ziegler
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
29.1 Oz
Item Length
9.7 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2006-296626
Dewey Edition
22
TitleLeading
A
Reviews
"This contribution fills a gap with a good selection of topics presented in a concise format that will be useful for biostatisticians starting in the field and geneticists or epidemiologists that want to master the specialized statistics used in genetics." ( ISCB News , December 2008) "...databases on genetic variation...are especially useful...the copious references and end-of-chapter links provide tools for readers and instructors to keep up with current developments." ( The Quarterly Review of Biology , December 2006)
Illustrated
Yes
Dewey Decimal
614.4
Table Of Content
Foreword.Preface.Acnowledgments.1. Molecular Genetics.2. Formal Genetics.3. Genetic Markers.4. Data Quality. 5. Genetic Map Distances.6. Model-Based Linkage Analysis.7. Model-Free Linkage Analysis.8. Quantitative Traits.9. Fundamental Concepts of Association Analyses.10. Association Analysis in Unrelated Individuals.11. Family-Based Association Analysis.12. Haplotypes in Association Analyses.Appendix: Algorithms Used in Linkage Analyses.Solutions.References.Index.
Synopsis
"There are not so many books on statistical methods focused on genetic epidemiology. This contribution fills a gap with a good selection of topics presented in a concise format that will be useful for biostatisticians starting in the field and geneticists or epidemiologists that want to master the specialized statistics used in genetics." ISCB NEWS Covering the latest developments, this advanced textbook introduces the relevant statistical methods applied in this field. Provides a concise introduction to genetic fundamentals Explains both linkage analysis and association analysis in detail Features more than 100 problems and solutions Includes a foreword by Robert C. Elston, Director, Division of Genetic and Molecular Epidemiology at the Case Western Reserve University, Cleveland, Ohio Written by the prize-winning scientist Andreas Ziegler, President of the German Region of the International Biometric Society, and Inke Koenig, who contributes several years of teaching experience, this is an ideal text for all epidemiologists, geneticists, statistics specialists, biomathematicians, and graduate students., Covering the latest developments, this advanced textbook is the first to focus on introducing the relevant statistical methods applied in this field. Written by the prize-winning scientist Andreas Ziegler, President of the German Region of the International Biometric Society, and Inke Knig, who contributes more than five years of teaching experience, this is ideal for epidemiologists, geneticists, statistics specialists, biomathematicians, and graduate students. After providing a concise introduction to genetic fundamentals, the authors explain both linkage analysis and association analysis in detail. The textbook features more than 100 problems and solutions. With a foreword by Robert C. Elston, Director, Division of Genetic and Molecular Epidemiology at the Case Western Reserve University, Cleveland, Ohio., Covering the latest developments, this advanced textbook first provides a concise introduction to genetic fundamentals, before explaining both linkage and association analysis in detail. Backed by more than 100 problems and solutions.
LC Classification Number
RA652.5.Z54 2006

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