Author: Nan M. Laird
Edition: 2011
Publisher: Springer
Binding: Hardcover
ISBN: 1441973370
The Fundamentals of Modern Statistical Genetics (Statistics for Biology and Health)
This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Medical books The Fundamentals of Modern Statistical Genetics . Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis Medical books The Fundamentals of Modern Statistical Genetics. This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel's first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (eg aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders.
The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
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This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel's first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (eg aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points through
Store Search search Title, ISBN and Author The Fundamentals of Modern Statistical Genetics by Nan M. Laird, Christoph Lange Estimated delivery 3-12 business days Format Hardcover Condition Brand New This book offers statistical models and methods used to understand human genetics, focusing on modern approaches to association analysis. Numerous examples illustrate key points, and the text includes exercises for students with a broad range of skill levels. Publisher Description This book covers t
author christoph lange author nan m laird format paperback language english publication year 29 01 2013 series statistics for biology and health subject medicine subject 2 medicine general title the fundamentals of modern statistical genetics statistics for biology and health author nan m laird publisher springer publication date jan 28 2013 pages 240 binding paperback edition 2011 dimensions 6 10 wx 9 25 hx 0 57 d isbn 1461427754 subject medical biostatistics brand new paperback all orders ge
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Medical Book The Fundamentals of Modern Statistical Genetics
Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
