Basic Statistics for Life Scientists

Basic Statistics for Life Scientists: A Concise Handbook of Essential Techniques, 1st Edition, by Jakub Tomek and David Eisner, presents a straightforward framework for evaluating experimental data in biological research. Published by Wiley-Blackwell, this handbook introduces statistical methods tailored for life sciences and biomedicine while deliberately avoiding dense mathematical derivations and overly technical jargon.

The content concentrates on identifying systemic analytical errors that recur throughout life science literature. Readers explore key methodological challenges in empirical data evaluation, gaining practical strategies to handle multiple hypothesis testing effectively and to identify and prevent pseudoreplication when organizing experimental studies.

To facilitate implementation in laboratory settings, the text provides visual illustrations alongside real-world dataset examples that demonstrate how to apply statistical techniques using software tools. This handbook serves as a structured analytical reference for investigators seeking to improve quantitative data practices across diverse biological and biomedical research environments.