Study design and analytic methods for data collected from clusters of animals
Date
1994Author
McDermott, JJ
Schukken, YH
Shoukri, MM
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
A variety of study design and statistical methods to account for the clustering of animal health and production outcomes is outlined. We argue that the relative utility of study design vs. statistical methods in accounting for cluster effects depends primarily on the objectives of the study and the amount of prior information available. The statistical methods outlined vary from simple post-hoc adjustments of test statistics to relatively complex mixture-distribution models. Methods for normal, binomial and Poisson distributed data are presented. The various options presented are discussed with reference to their underlying assumptions and how they have been or might be used in veterinary epidemiologic studies.
URI
http://www.sciencedirect.com/science/article/pii/0167587794900744http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/51002
Citation
Preventive Veterinary Medicine Volume 18, Issue 3, February 1994, Pages 175–191Publisher
University of Nairobi Department of Public Health, Pharmacology and Toxicology