Basic Biostatistics for Geneticists and Epidemiologists: A Practical Approach

Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. 
This Book: <ul>
<li>Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares.</li> <li>Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research.</li> </ul>
<ul>
<li>Is illustrated throughout with simple examples to clarify the statistical methodology.</li> <li>Explains Bayes’ theorem pictorially.</li> <li>Features exercises, with answers to alternate questions, enabling use as a course text.</li> </ul>
Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.

Science & Math

Johnson, William

Elston, Robert C.

Biological Sciences

wiley

Genetic Epidemiology: Fundamental Concepts

Genetic epidemiology is a rapidly developing field, and has continued to grow enormously in international importance over the last ten years. This book provides a unified text that draws together material genetics, epidemiology, public health and statistics. Developed from the authors extensive experience of teaching undergraduate and graduate level courses in genetic epidemiology and statistical genetics, it contains numerous examples drawn from the literature and the authors’ personal experience, and features exercises with worked answers. Features include:  A truly introductory level textbook for the teaching of genetic epidemiology requiring little background information. Integrates the critical concepts derived from population genetics with those derived from genetics and statistics. Developed out of the extensive experience of the authors teaching undergraduate and graduate level at universities including Harvard, Oxford, and Cambridge. Designed to be self-contained, and will contain numerous examples drawn from the literature, in addition to exercises with worked answers. Supported by a Website containing data sets and software.  Primarily aimed at graduate students studying genetic epidemiology and statistical genetics. The book will also be suitable for researchers and practitioners from genetics, epidemiology, biology, medical research and statistics.

Palmer, Lyle

Fallin, Danielle

Wiley-Interscience

A revised text on biostatistics that demands little or no statistical background from the reader. The emphasis on concepts, not computation, enables the reader to understand statistical aspects of experimental design and to interpret data without having to perform involved calculations. Annotation copyright Book News, Inc. Portland, Or.

Essentials of Biostatistics

Medical Books

Johnson, William D.

Research

F.A. Davis Co.

Analysis of Genetic Association Studies (Statistics for Biology and Health)

Analysis of Genetic Association Studies is both a graduate level textbook in statistical genetics and genetic epidemiology, and a reference book for the analysis of genetic association studies. Students, researchers, and professionals will find the topics introduced in Analysis of Genetic Association Studies particularly relevant. The book is applicable to the study of statistics, biostatistics, genetics and genetic epidemiology. 
In addition to providing derivations, the book uses real examples and simulations to illustrate step-by-step applications. Introductory chapters on probability and genetic epidemiology terminology provide the reader with necessary background knowledge. The organization of this work allows for both casual reference and close study.

Zheng, Gang

Yang, Yaning

Zhu, Xiaofeng

Springer

This reference book for the analysis of genetic association studies makes an ideal companion to graduate-level students. In addition to providing derivations, the book deploys real examples and simulations to illustrate its step-by-step applications.

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