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Experimental Design and Data Analysis for Biologists

Experimental Design and Data Analysis for Biologists

by Gerry P. Quinn and Michael J. Keough
Hardback
Publication Date: 16/11/2023

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Applying statistical concepts to biological scenarios, this established textbook continues to be the go-to tool for advanced undergraduates and postgraduates studying biostatistics or experimental design in biology-related areas. Chapters cover linear models, common regression and ANOVA methods, mixed effects models, model selection, and multivariate methods used by biologists, requiring only introductory statistics and basic mathematics. Demystifying statistical concepts with clear, jargon-free explanations, this new edition takes a holistic approach to help students understand the relationship between statistics and experimental design. Each chapter contains further-reading recommendations, and worked examples from today's biological literature. All examples reflect modern settings, methodology and equipment, representing a wide range of biological research areas. These are supported by hands-on online resources including real-world data sets, full R code to help repeat analyses for all worked examples, and additional review questions and exercises for each chapter.
ISBN:
9781107036710
9781107036710
Category:
Maths for scientists
Format:
Hardback
Publication Date:
16-11-2023
Language:
English
Publisher:
Cambridge University Press
Country of origin:
United States
Edition:
2nd Edition
Dimensions (mm):
260x210x22mm

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