title: A periodic analysis of longitudinal binary responses: a case study of clinical mastitis in Norwegian Red cows.
abstract: A Bayesian procedure for analyzing longitudinal binary responses using a periodic cosine function was developed. It was assumed that, after adjustment for "seasonal" effects, the oscillation of the underlying latent variables for longitudinal binary responses was a stationary series. Based on this assumption, a single dimension sinusoidal analysis of longitudinal binary responses using the Gibbs sampling and Metropolis algorithms was implemented in a study of clinical mastitis records of Norwegian Red cows taken over five lactations.
authors: Department of Dairy Science, University of Wisconsin, Madison, USA. y.chang@leeds.ac.uk
authors: Yu-mei
authors: YM
authors: Chang
authors: Daniel
authors: D
authors: Gianola
authors: Bjørg
authors: B
authors: Heringstad
authors: Gunnar
authors: G
authors: Klemetsdal
mesh_terms: D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D002417:Cattle / Q000235:genetics*; D005260:Female; D007774:Lactation; D008414:Mastitis, Bovine / Q000453:epidemiology / Q000235:genetics*; D008957:Models, Genetic; D015233:Models, Statistical; D009010:Monte Carlo Method; D009664:Norway / Q000453:epidemiology; D010375:Pedigree; D010507:Periodicity; D013997:Time Factors