The Design and Statistical Analysis of Animal Experiments

The Design and Statistical Analysis of Animal Experiments
Author: Simon T. Bate
Publisher: Cambridge University Press
Total Pages: 327
Release: 2014-03-13
Genre: Computers
ISBN: 1107030781


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This book will provide scientists with a better understanding of statistics, improving their decision-making and reducing animal use.


The Design and Statistical Analysis of Animal Experiments
Language: en
Pages: 327
Authors: Simon T. Bate
Categories: Computers
Type: BOOK - Published: 2014-03-13 - Publisher: Cambridge University Press

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This book will provide scientists with a better understanding of statistics, improving their decision-making and reducing animal use.
The Design of Animal Experiments
Language: en
Pages: 0
Authors: Michael Festing
Categories: Science
Type: BOOK - Published: 2016-12-14 - Publisher: SAGE Publications Limited

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Where there is no alternative to the use of animals in biomedical research, it is important that experiments are well designed and correctly analysed in order t
Animal Experimentation: Working Towards a Paradigm Change
Language: en
Pages: 749
Authors: Kathrin Herrmann
Categories: Philosophy
Type: BOOK - Published: 2019-04-30 - Publisher: BRILL

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Animal experimentation has been one of the most controversial areas of animal use, mainly due to the intentional harms inflicted upon animals for the sake of ho
Statistical Design and Analysis of Biological Experiments
Language: en
Pages: 281
Authors: Hans-Michael Kaltenbach
Categories: Mathematics
Type: BOOK - Published: 2021-04-15 - Publisher: Springer Nature

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This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, inclu
Experimental Design for Laboratory Biologists
Language: en
Pages: 429
Authors: Stanley E. Lazic
Categories: Medical
Type: BOOK - Published: 2016-12-08 - Publisher: Cambridge University Press

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Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high prec