Cart

Recommended Books


Recommended Books

Three great books of statistical advice


Three great books of statistical advice

After taking courses in statistics, and reading textbooks of statistics, you may still find statistics confusing. What you need is not more information, but rather advice, perspective, and a guide to steer you away from data analysis traps. These three books provide what you need. All three are written for people who already have learned the basics of statistics, but are still struggling with practical issues of data analysis. All three are extremely well written in plain English (without much math), and are quite accessible to scientists. I strongly recommend all three books. Choosing between them is hard, as all three are great. The best way to choose is to read excerpts online.

Read More >

Making sense of ANOVA


Making sense of ANOVA

Analysis of Variance (ANOVA) is a powerful technique in statistics, but one that can be quite confusing and is often abused. If you want to really understand ANOVA, this clearly written book will help. It explains ANOVA from the perspective of comparing the fit of alternative models, rather than the more conventional approach of dividing variation into its components. It has plenty of math, but explains all concepts in plain English.

Read More >

An in-depth guide to dose response curves


An in-depth guide to dose response curves

While overkill for most pharmacologists, this is a unique resource for people who need to deal with complex dose-response relationships, including allosteric interactions, synergy, multi-step binding, cubic binding models and much more. It deals only with systems at equilibrium, so does not cover kinetics. If you are curious, start with this chapter, which explains many variations on the Hill equation, and the many uses of the term "logistic". If you haven't heard of the Hill equation, this book is not for you!

Read More >