TY  - MANSCPT
AU  - Festing, Michael F. W.
AU  - Overend, Philip
AU  - Cortina Borja, Mario 
AU  - Berdoy, Manuel 
TI  - The design of animal experiments: : Reducing the use of animals in research through better experimental design
T2  -  Laboratory animal 
SN  - 9781473974630
U1  - 636.089 
PY  - 2016///
CY  - Los Angeles
PB  - Sage Publications Ltd. 
KW  - Variance
KW  - Animals
KW  - Latin squares
KW  - Analysis
N1  - 1.- Introduction and basic principles    
2.- Choice of animals and their husbandry    
3.- Understanding and controlling variability    
4.- The analysis of variance   
5.- The completely randomised single factor design   
6.- Factorial experiments    
7.- Randomised block (RB) designs    
8.- Split plots, Latin squares, covariance and other techniques.    
9.- Counts and proportions    
10.- Regression and correlation    
11.- The determination of sample size    
12.- Seventeen steps in designing a randomised controlled animal experiment.   
13.- Reporting the results.    
--Appendix 1.- R- Commander: a free menu-driven statistical software package.
--Appendix 2. Further reading.    
--References.   
--Index
N2  - 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 to minimise pain and maximize the chance of getting scientifically valid results. Experiments that use too few animals may fail to pick up biologically important effects, while those who use them incorrectly or wastefully may get invalid results while subjecting the animals to unnecessary pain, distress or lasting harm.
 

The Design of Animal Experiments is intended for all research scientists who use laboratory animals, with the aim of helping them to design their own experiments more effectively and/or to improve their ability to communicate with professional statisticians when necessary. It covers all randomised controlled experimental designs likely to be needed in laboratory animal research, with worked examples showing how they can be statistically analysed. It suggests the more widespread use of randomised block designs and shows how both males and females can be included in an experiment without the need to increase the total number of animals by using factorial designs. It also includes guidance on the choice of experimental animals. The book covers the learning outcomes of Module 10 and part (ii) of Module 11 of education and training under Directive 2010/63/EU.
ER  -