000			02859nam a22004098i 4500
001			CR9781139344319
005			20250919142051.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			120319s2002||||enk o ||1 0|eng|d
020			_a9781139344319 (ebook)
020			_z9781107030787 (hardback)
020			_z9781107690943 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aHV4930 _b.D47 2002
082	0	0	_a590.72/4 _223
100	1		_aBate, Simon T., _d1975- _eauthor.
245	1	4	_aThe design and statistical analysis of animal experiments / _cSimon T. Bate, GlaxoSmithKline, UK, and Robin A. Clark, Huntingdon Life Sciences, UK.
246	3		_aThe Design & Statistical Analysis of Animal Experiments
264		1	_aCambridge : _bCambridge University Press, _c2002.
300			_a1 online resource (xv, 310 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	8		_aMachine 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.
520			_aWritten 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	_aAnimal experimentation _xStatistical methods.
650		0	_aExperimental design.
700	1		_aClark, Robin A., _dsoftware developer, _eauthor.
776	0	8	_iPrint version: _z9781107030787
856	4	0	_uhttps://doi.org/10.1017/CBO9781139344319
907			_a.b16847660 _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16847660
999			_c652109 _d652109