A comparison of inferential analysis methods for multilevel studies: Implications for drawing conclusions in animal welfare science

Stevens, KN, Asher, L, Griffin, K et al. (3 more authors) (2017) A comparison of inferential analysis methods for multilevel studies: Implications for drawing conclusions in animal welfare science. Applied Animal Behaviour Science, 197. pp. 101-111. ISSN 0168-1591

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 Published by Elsevier B.V. This is an author produced version of a paper published in Applied Animal Behaviour Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Study design; sample size; mixed effect models; pig; animal health; animal welfare
Dates:
  • Accepted: 13 August 2017
  • Published (online): 24 August 2017
  • Published: December 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 24 Aug 2017 10:42
Last Modified: 13 Aug 2018 00:38
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.applanim.2017.08.002

Export

Statistics