American Journal of Epidemiology Advance Access originally published online on February 8, 2006
American Journal of Epidemiology 2006 163(7):684-685; doi:10.1093/aje/kwj102
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American Journal of Epidemiology Copyright © 2006 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.
Book Review |
Statistical Methods in Genetic Epidemiology By Duncan C. Thomas
ISBN 0-19-515939-X, Oxford University Press, New York, New York (Telephone: 800-445-9714, Fax: 919-677-1303, Website: http://www.oupusa.org), 2004, 464 pp., $65 (Hardcover)
The Seeing Eye, Inc., Morristown, NJ 07960
(e-mail: eleighton@cox.net)
| The first 10% of the full text of this article appears below. |
Genetic epidemiology is rapidly evolving as a cross-discipline between genetics and epidemiology, served up with a healthy dose of statistics. It attempts to understand the genetic etiology of disease and, to do so, applies old statistical tools in new ways or builds new tools from more traditional ones common in genetics or epidemiology. The jargon can sometimes be daunting to define. Because this is a very young field, precious few books have been written specifically for newcomers. In his preface, Professor Thomas declares