Experimental Design and Data Analysis for Biologists

This textbook is a must-have for advanced undergraduates and postgraduates studying biostatistics or experimental design in biology-related areas, providing clear and jargon-free explanations of statistical concepts and offering hands-on online resources to help students understand the relationship between statistics and experimental design.

Format: Paperback / softback
Length: 405 pages
Publication date: 07 September 2023
Publisher: Cambridge University Press

This renowned textbook, a staple in the field of biostatistics and experimental design, has remained the go-to resource for advanced undergraduates and postgraduates delving into these disciplines. Spanning a comprehensive range of topics, it delves into linear models, common regression and ANOVA methods, mixed effects models, model selection, and multivariate methods, all of which are essential tools employed by biologists. Requiring only a foundational understanding of introductory statistics and basic mathematics, the book offers clear and jargon-free explanations to demystify statistical concepts. Taking a holistic approach, it aims to help students grasp the interconnectedness between statistics and experimental design. Each chapter is accompanied by further-reading recommendations, providing valuable insights into the latest developments in the field. Furthermore, the book features worked examples drawn from contemporary biological literature, reflecting the latest methodologies and equipment used in modern biological research. These examples are supported by hands-on online resources, including real-world data sets, complete R code for replicating analyses, and additional review questions and exercises to reinforce learning. By offering a comprehensive and up-to-date perspective on biostatistical and experimental design, this textbook remains an invaluable resource for students seeking to excel in biology-related fields.

Weight: 986g
Dimension: 203 x 254 x 20 (mm)
ISBN-13: 9781107687677
Edition number: 2 Revised edition