Open Educational Resources
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.
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.
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.
Stanford community members, if you are developing open access content for open science, let us know and we will feature your work here! Drop us a line at email@example.com.