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Bestseller
BestsellerE-book
Author Thomas, Duncan C.

Title Statistical methods in genetic epidemiology / Duncan C. Thomas.

Publication Info. Oxford ; New York : Oxford University Press, 2004.

Item Status

Description 1 online resource (xxi, 435 pages) : illustrations
Physical Medium polychrome
Description text file
Bibliography Includes bibliographical references (pages 387-427) and index.
Summary 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 on 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.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Genetic epidemiology -- Statistical methods.
Genetic epidemiology.
Statistics.
Statistics as Topic -- methods.
Epidemiology.
Genetics.
Genre/Form Electronic books.
Other Form: Print version: Thomas, Duncan C. Statistical methods in genetic epidemiology. Oxford ; New York : Oxford University Press, 2004 9780195159394 (DLC) 2003053096 (OCoLC)52216298
ISBN 9780199748051 (electronic book)
0199748055 (electronic book)
1280845309
9781280845307
9780195159394 (cloth ; alkaline paper)
019515939X (cloth ; alkaline paper)