Experimental Design for the Life Sciences by Graeme D. Ruxton

Experimental Design for the Life Sciences

byGraeme D. Ruxton, Nick Colegrave

Paperback | June 16, 2016

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The careful design of experiments lies at the core of good research. Experimental Design for the Life Sciences equips you with the skills you need to effectively design experiments, making this essential aspect of the research process readily understandable. It demonstrates how goodexperimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity. With a refreshingly approachable and articulate style, the book walks you through the considerations that go into designing an experiment in clear, practical terms. Using examples drawn from across the life sciences - from ecology, biochemistry, molecular biology, genetics, and health sciences - theauthors illustrate how these concepts are applied within the broad context of real biological research.Online Resource Centre:The Online Resource centre to accompany Experimental Design for the Life Sciences features:For students: * Self-test questions and answers* Additional examples* Supplementary sections discuss complex concepts and statistical issues in more depth* Links to useful websites and free softwareFor lecturers:* Suggested course structures, complete with practical exercises* Figures from the book, available to download

About The Author

Graeme D. Ruxton is Professor at the University of ST. Andrews, UK. Nick Colegrave is Lecturer in Biology at The University of Edinburgh, UK.
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Details & Specs

Title:Experimental Design for the Life SciencesFormat:PaperbackDimensions:224 pagesPublished:June 16, 2016Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198717350

ISBN - 13:9780198717355

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Extra Content

Table of Contents

1. Why you should care about design2. Starting with a well-defined hypothesis3. Selecting the broad design of your study4. Between-individual variation, replication, and sampling5. Pseudoreplication6. Sample size, power, and efficient design7. The simplest type of experimental design: completely randomized single-factor8. Experiments with several factors9. Beyond complete randomization: blocking and covariates10. Within-subject designs11. Taking measurements

Editorial Reviews

"A well-presented, clearly argued, concise and witty introduction to one of the most important topics in the life sciences." --Nick Royle, School of Biosciences, Exeter University