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Susan Holmes, Wolfgang Huber

Modern Statistics for Modern Biology

If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. You can visualize and analyze your own data, apply unsupervised and supervised learning, integrate datasets, apply hypothesis testing, and make publication-quality figures using the power of R/Bioconductor and ggplot2.

Print copies are available on Amazon for $50. Free open access version available online.

Russell Poldrack

Statistical Thinking for the 21st Century

The goal of this book is to the tell the story of statistics as it is used today by researchers around the world. It’s a different story than the one told in most introductory statistics books, which focus on teaching how to use a set of tools to achieve very specific goals. This book focuses on understanding the basic ideas of statistical thinking — a systematic way of thinking about how we describe the world and use data make decisions and predictions, all in the context of the inherent uncertainty that exists in the real world.

Michael C. Frank, Mika Braginsky, Julie Cachia, Nicholas Coles, Tom Hardwicke, Robert Hawkins, Maya Mathur, and Rondeline Williams

Experimentology: An Open Science Approach to Experimental Psychology Methods

This book provides an introduction to the workflow of the experimental researcher in the psychological sciences. The organization is sequential, from the planning stages of the research process through design, data collection, analysis, and reporting.

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