Statistical Methods in Genetic Epidemiology

Duncan C Thomas

ISBN 10: 019515939X / ISBN 13: 9780195159394

Published by Oxford University Press, 2004

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.

Seller Inventory # 9780195159394

Bibliographic Details

• Title: Statistical Methods in Genetic Epidemiology
• Publisher: Oxford University Press
• Publication Date: 2004
• Language: English
• ISBN 10: 019515939X
• ISBN 13: 9780195159394
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 29D millimeters 240 millimeters width by 161 millimeters height by 29 millimeters depth
• Weight: 848 grams

About this title

Synopsis

This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects in the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others. It strikes a good balance between epidemiologic study designs and statistical methods of data analysis.

About the Author

Duncan C. Thomas is at University of Southern California School of Medicine.