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The design and statistical analysis ...

Clark, Robin A., (software developer.)

The design and statistical analysis of animal experiments

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The design and statistical analysis of animal experiments/ Simon T. Bate, and Robin A. Clark.
其他題名:	The Design & Statistical Analysis of Animal Experiments
作者:	Bate, Simon T.,
其他作者:	Clark, Robin A.,
出版者:	Cambridge :Cambridge University Press, : 2014.,
面頁冊數:	xv, 310 p. :ill., digital ; : 24 cm.;
提要註:	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.
標題:	Experimental design. -
電子資源:	https://doi.org/10.1017/CBO9781139344319
ISBN:	9781139344319

The design and statistical analysis of animal experiments
Bate, Simon T.,1975-

The design and statistical analysis of animal experiments[electronic resource] /The Design & Statistical Analysis of Animal ExperimentsSimon T. Bate, and Robin A. Clark. - Cambridge :Cambridge University Press,2014. - xv, 310 p. :ill., digital ;24 cm.

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.

ISBN: 9781139344319Subjects--Topical Terms:

239585
Experimental design.

LC Class. No.: HV4930 / .D47 2014

Dewey Class. No.: 590.724

The design and statistical analysis of animal experiments
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245 1 4 $a The design and statistical analysis of animal experiments $h [electronic resource] / $c Simon T. Bate, and Robin A. Clark.
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520 $a 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.
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