Author: Duncan C. Thomas
Edition: 1
Publisher: Oxford University Press, USA
Binding: Hardcover
ISBN: 019515939X
Statistical Methods in Genetic Epidemiology
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. Medical books Statistical Methods in Genetic Epidemiology. 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 Medical books Statistical Methods In Genetic Epidemiology By Duncan C. Thomas Hardcover Bo. Store Search search Title, ISBN and Author Statistical Methods in Genetic Epidemiology by Duncan C. Thomas Estimated delivery 3-12 business days Format Hardcover Condition Brand 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 f
Download link for Statistical Methods in Genetic Epidemiology
Store Search search Title, ISBN and Author Statistical Methods in Genetic Epidemiology by Duncan C. Thomas Estimated delivery 3-12 business days Format Hardcover Condition Brand 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 f
author duncan c thomas format hardback language english publication year 01 01 2004 subject medicine subject 2 medical nursing ancillary services title statistical methods in genetic epidemiology author thomas duncan c publisher oxford univ pr publication date jan 01 2004 pages 496 binding hardcover edition 1 st dimensions 6 00 wx 10 00 hx 1 00 d isbn 019515939 x subject medical epidemiology description this well organized and clearly written text has a unique focus on methods of identifying t
Statistical Methods in Genetic Epidemiology, ISBN-13: 9780195159394, ISBN-10: 019515939X
Oxford University Press Inc | 2004 | 458 pages | ISBN-13: 9780195159394 | ISBN-10: 019515939X
Medical Book Statistical Methods in Genetic Epidemiology
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.
