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Experimental Design and Data Analysis for Biologists

Authors

Gerry P. Quinn
, Deakin University, Victoria,
Michael J. Keough
, University of Melbourne
Published 2023

Description

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.…

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Key features

  • Provides worked examples from primary literature and includes relevant data to replicate the analyses, applying statistical concepts to real biological scenarios
  • Takes a holistic approach, particularly for linear models, and maintains consistent terminology that covers the concepts without relying on niche jargon
  • Supplies full annotated R code online for all worked examples, enabling students to do all analyses in R at their own pace
  • Offers additional revision questions online, from the biological literature and with real data

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