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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.…
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Resources available
Unlock the full potential of this textbook with additional resources.
There are free resources and Instructor restricted resources available for this textbook.
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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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Authors
Gerry P. Quinn,Deakin University, Victoria
Gerry Quinn is an Honorary Professor in the School of Life and Environmental Sciences at Deakin University, having served as Chair in Marine Biology and Head of Warrnambool Campus during his academic career. He has extensive experience in teaching biostatistics at Deakin University and the University of Gothenburg.
Michael J. Keough,University of Melbourne
Michael J. Keough is an ecologist, environmental scientist, and honorary Professor in the School of Biosciences at University of Melbourne.