#### Intuitive Biostatistics

by Harvey Motulsky

#### High-yield Biostatistics

by Anthony N. Glaser

**High-Yield™ Biostatistics, Third Edition** provides a concise review of the biostatistics concepts that are tested in the USMLE Step 1. Information is presented in an easy-to-follow format, with *High-Yield Points* that help students focus on the most important USMLE Step 1 facts. Each chapter includes review questions, and an appendix provides answers with explanations.

This updated edition includes additional information on epidemiology/public health. The improved, more readable format features briefer, bulleted paragraphs, more *High-Yield Points,* and boldfaced terms.

#### Biostatistics: An Applied Introduction for the Public Health Practitioner

by Heather M. Bush

**Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.**

#### Biostatistics with R

by Babak Shahbaba

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.