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The design and statistical analysis of animal experiments

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The design and statistical analysis of animal experiments/ Simon T. Bate, and Robin A. Clark.
remainder title:	The Design & Statistical Analysis of Animal Experiments
Author:	Bate, Simon T.,
other author:	Clark, Robin A.,
Published:	Cambridge :Cambridge University Press, : 2014.,
Description:	xv, 310 p. :ill., digital ; : 24 cm.;
基督教聖經之智慧書導讀 :	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.
Subject:	Experimental design. -
Online resource:	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.
650 0 $2 96060 $a Experimental design. $3 239585
650 0 $a Animal experimentation $x Statistical methods. $3 431993
700 1 $a Clark, Robin A., $d software developer. $3 431992
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