Biostatistics with R

An Introduction to Statistics Through Biological Data

  • Babak Shahbaba

Part of the Use R! book series (USE R)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Babak Shahbaba
    Pages 1-16
  3. Babak Shahbaba
    Pages 17-59
  4. Babak Shahbaba
    Pages 61-81
  5. Babak Shahbaba
    Pages 83-107
  6. Babak Shahbaba
    Pages 109-149
  7. Babak Shahbaba
    Pages 151-171
  8. Babak Shahbaba
    Pages 173-191
  9. Babak Shahbaba
    Pages 221-234
  10. Babak Shahbaba
    Pages 235-251
  11. Babak Shahbaba
    Pages 253-290
  12. Babak Shahbaba
    Pages 291-301
  13. Babak Shahbaba
    Pages 303-315
  14. Back Matter
    Pages 317-352

About this book

Introduction

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 of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided.  Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander.  A novel feature of this book is an elementary introduction to the basic of Bayesian analysis.

This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools.  The book is ideal for instructors of basic statistics for biologists and other health scientists.  The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text. 

Keywords

Biostatistics R applications

Authors and affiliations

  • Babak Shahbaba
    • 1
  1. 1., Department of StatisticsUniversity of California, IrvineIrvineUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1302-8
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-1301-1
  • Online ISBN 978-1-4614-1302-8
  • About this book