Statistical Methods in Genetic Epidemiology (Hardcover, New)

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.

General

Imprint:	Oxford UniversityPress
Country of origin:	United States
Release date:	March 2004
First published:	2004
Authors:	Duncan C. Thomas (Professor of Preventive Medicine, Director of the Biostatistics Division and Verna R Richter Chair in Cancer Research)
Dimensions:	241 x 163 x 26mm (L x W x T)
Format:	Hardcover
Pages:	458
Edition:	New
ISBN-13:	978-0-19-515939-4
Categories:	Books > Medicine > Pre-clinical medicine: basic sciences > Medical genetics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Medicine > Clinical & internal medicine > Diseases & disorders > Congenital diseases & disorders > Hereditary diseases & disorders
LSN:	0-19-515939-X
Barcode:	9780195159394

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