國立虎尾科技大學 |

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, GlaxoSmithKline, UK, and Robin A. Clark, Huntingdon Life Sciences, UK.
其他題名:	The Design & Statistical Analysis of Animal Experiments
作者:	Bate, Simon T.,
其他作者:	Clark, Robin A.,
面頁冊數:	1 online resource (xv, 310 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Animal experimentation - Statistical methods. -
電子資源:	https://doi.org/10.1017/CBO9781139344319
ISBN:	9781139344319 (ebook)

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

The design and statistical analysis of animal experiments /The Design & Statistical Analysis of Animal ExperimentsSimon T. Bate, GlaxoSmithKline, UK, and Robin A. Clark, Huntingdon Life Sciences, UK. - 1 online resource (xv, 310 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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: 9781139344319 (ebook)Subjects--Topical Terms:

1156715
Animal experimentation
--Statistical methods.

LC Class. No.: HV4930 / .D47 2002

Dewey Class. No.: 590.72/4

The design and statistical analysis of animal experiments /
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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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