Biostatistics with R An Introduction to Statistics Through Biologica
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development
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Kurt Hornik
For further volumes: http://www.springer.com/series/6991
Giovanni Parmigiani
Babak Shahbaba
Biostatistics with R An Introduction to Statistics Through Biological Data
Prof. Babak Shahbaba Department of Statistics University of California, Irvine Irvine, CA 92697-1250 USA [email protected] Series Editors: Robert Gentleman Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Avenue, N. M2-B876 Seattle, WA 98109 USA
Kurt Hornik Department of Statistik and Mathematik Wirtschaftsuniversität Wien Augasse 2-6 1090 Wien Austria
Giovanni Parmigiani The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University 550 North Broadway Baltimore, MD 21205-2011 USA
Additional material to this book can be downloaded from http://extras.springer.com ISBN 978-1-4614-1301-1 e-ISBN 978-1-4614-1302-8 DOI 10.1007/978-1-4614-1302-8 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011943351 © Springer Science+Business Media, LLC 2012 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To Rezy and Ryan
Preface
This book will discuss basic statistical analysis methods through a series of biological examples using R and R-Commander as computational tools. The book is intended for a wide range of readers, from people with relatively strong analytical background who want to learn about statistics and its application in biology, to nonstatistician scientists who use statistical methods in their research. While the theoretical aspects of statistics are intriguing and interesting on their own, we believe that what separates statistics from other branches of mathematics is its intimate relationship with other fields, such as biology, economics, and social sciences, and its widespread application in these areas. In statistics, a theoretical work is usually inspired by applied problems, and new theories usually find immediate applications in real-world problems. This interweaving of theory and application has put statistics in a special place in the scientific world. In this book, most topics are motivated by real examples first. We believe that learning a new topic becomes easier if it is motivated by interesting and engaging applied problems. We also hope
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