Design and statistical analysis of animal experiments / by Simon T. Bate and Robin A. Clark
By: Bate, Simon T
Contributor(s): Clark, Robin A
Material type: TextPublisher: Cambridge, United Kingdom : Cambridge University Press, 2014Description: xv, 310 p. ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781107030787 (hardback); 9781107690943 (paperback)Subject(s): Animal experimentation -- Statistical methods | Experimental designDDC classification: 590.72/\4 LOC classification: HV4930 | .D47 2002Online resources: Cover imageItem type | Current location | Call number | Status | Date due | Barcode |
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BK | Mangalore University Library | 590.724 BAT C (Browse shelf) | Available | 157364 |
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590.720 54 ANI Animal science research: new dimensions | 590.72 GOS Research methodology in zoology / | 590.72 GOS;1 Research methodology in zoology / | 590.724 BAT C Design and statistical analysis of animal experiments / | 590.73 ZOO P Zoos' print journal | 590.73 ZOO P Zoos' print journal | 590.73 ZOO P Zoos' print journal |
Includes bibliographical references (pages 297-302) and index.
Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Statistical concepts; 3. Experimental design; 4. Randomisation; 5. Statistical analysis; 6. Analysis using InVivoStat; 7. Conclusion; Glossary; References; Index.
"Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results"-- Provided by publisher.
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