The construction of multi-factor crossover designs in animal husbandry studies

For ethical reasons it is important to try to obtain as much useful information as possible from an animal experiment whilst minimizing the number of animals used. Crossover designs, where applicable, provide an ideal framework for achieving this. If two or more treatment factors are included in the...

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Vydáno v:Pharmaceutical statistics : the journal of the pharmaceutical industry Ročník 7; číslo 3; s. 179 - 194
Hlavní autoři: Bate, S.T., Boxall, J.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.07.2008
Témata:
Animal Husbandry - methods
Animal Husbandry - statistics & numerical data
Animals
balance
carry-over
Cross-Over Studies
crossover
Dogs
Drug Industry - methods
Drug Industry - statistics & numerical data
Female
Male
orthogonality
Research Design - statistics & numerical data
universal optimality
ISSN:1539-1604, 1539-1612, 1539-1612
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Shrnutí:For ethical reasons it is important to try to obtain as much useful information as possible from an animal experiment whilst minimizing the number of animals used. Crossover designs, where applicable, provide an ideal framework for achieving this. If two or more treatment factors are included in the crossover design then the reduction in total animal usage can be considerable. In this paper we consider such designs, defined as multi‐factor crossover designs. The designs are applicable when there are several different treatment factors, each at t levels, to be applied to the experimental units. The motivation for investigating these designs was a study conducted at GlaxoSmithKline to determine the preference of male and female dogs for t=5 different types of bed and t=5 different bedding conditions. A construction method is given for forming universally optimal designs for t not too large. Also given is an example for the special case where the number of treatment levels t=6. Copyright © 2007 John Wiley & Sons, Ltd.
Bibliografie:ark:/67375/WNG-GSJ329KD-R
ArticleID:PST288
istex:4CB3DFB57557D934740A8D5A23E1B5B7D91589EA
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1539-1604
1539-1612
1539-1612
DOI:10.1002/pst.288