The Design and Statistical Analysis of Animal Experiments by ... - 9781107030787
The Design and Statistical Analysis of Animal Experiments by ... - 9781107030787
The Design and Statistical Analysis of Animal Experiments by ... - 9781107030787

The Design and Statistical Analysis of Animal Experiments by ... - 9781107030787

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The Design and Statistical Analysis of Animal ExperimentsAuthor(s): Simon T. Bate, Robin A. Clark\nFormat: Hardback\nPublisher: Cambridge University Press, United Kingdom\nImprint: Cambridge University Press\nISBN-13: 9781107030787, 978-1107030787\nSynopsis\nWritten 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.

The Design and Statistical Analysis of Animal Experiments by ... - 9781107030787

The Design and Statistical Analysis of Animal ExperimentsAuthor(s): Simon T. Bate, Robin A. Clark\nFormat: Hardback\nPublisher: Cambridge University Press, United Kingdom\nImprint: Cambridge University Press\nISBN-13: 9781107030787, 978-1107030787\nSynopsis\nWritten 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.

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