Statistical Methods in Genetic Epidemiology

Features

• Cover Type: Hard Cover with 464 pages
• Published by: Oxford University Press, USA
• Edition: 1st Edition January 29, 2004
• Written in: English
• ISBN 10 Number: 019515939X
• ISBN 13 Number: 978-0195159394
• Book Dimensions: 9.3 x 6.2 x 1.1 inches
• Weighs: 1.6 pounds

Product Review

"This book is well organized and logically developed, such that concepts are covered in broad strokes, revisited in greater detail, and connected together. this is a very thorough treatise of the spectrum of methods that collectively define genetic epidemiology." --Annals of Epidemiology
"Statistical Methods in Genetic Epidemiology is a most welcome volume that all readersshould consider having on their bookshelves. It seems likely that this will serve as a classic text for many years to come." --American Journal of Human Genetics
"This is a clear succinct tour of the analytical side of genetic epidemiology. There is a suitable balance of biology and statistical details and the text is well pitched for its target audience of graduate epidemiologists, biostatisticians, and human geneticists."--International Journal of Epidemiology


Product Description
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.

Reader Reviews
I bought this book for a survey course I am sitting in so as to learn genetics. This book does comprehensively review the subject and its literature, but it lacks so much as one completed example problem. Statistics is, after all, about getting the numbers right. I think this is the first time I've ever seen a book with "statistics" in its title that does not show the reader how to get the numbers right. Don Champagne, Ph.D. (statistics & economics)