Biostatistics with R: An Introduction to Statistics Through Biological Data

✍ Scribed by Babak Shahbaba (auth.)

• Publisher: Springer-Verlag New York
• Year: 2012
• Tongue: English
• Leaves: 369
• Series: Use R!
• Edition: 1
• Category: Library

✦ Synopsis

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 introduction to 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.

✦ Table of Contents

Front Matter....Pages I-XVI
Introduction....Pages 1-16
Data Exploration....Pages 17-59
Exploring Relationships....Pages 61-81
Probability....Pages 83-107
Random Variables and Probability Distributions....Pages 109-149
Estimation....Pages 151-171
Hypothesis Testing....Pages 173-191
Statistical Inference for the Relationship Between Two Variables....Pages 193-219
Analysis of Variance (ANOVA)....Pages 221-234
Analysis of Categorical Variables....Pages 235-251
Regression Analysis....Pages 253-290
Clustering....Pages 291-301
Bayesian Analysis....Pages 303-315
Back Matter....Pages 317-352

✦ Subjects

Statistics for Life Sciences, Medicine, Health Sciences