A Bayesian Weibull survival model for time to infection data measured with delay

Preventive Veterinary Medicine

Volumn 94, Issue 3-4, 2010, Pages 191-201

  Kostoulas, Polychronis ^a   Nielsen, Søren S ^b   Browne, William J ^c   Leontides, Leonidas ^a  

^a Biostatistics and Animal Health Economics   (Greece)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Bayesian analysis; Detection delay; Latent infection; Paratuberculosis; Weibull regression

Indexed keywords

BACTERIUM ANTIBODY;

AGE; ANIMAL; ANIMAL DISEASE; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BLOOD; CATTLE; CATTLE DISEASE; COMPUTER SIMULATION; DISEASE CARRIER; IMMUNOLOGY; MORTALITY; MYCOBACTERIUM PARATUBERCULOSIS; PARATUBERCULOSIS; REGRESSION ANALYSIS; RISK FACTOR; TIME;

AGE FACTORS; ANIMALS; ANTIBODIES, BACTERIAL; BAYES THEOREM; CATTLE; CATTLE DISEASES; COMPUTER SIMULATION; DISEASE RESERVOIRS; MODELS, BIOLOGICAL; MYCOBACTERIUM AVIUM SUBSP. PARATUBERCULOSIS; PARATUBERCULOSIS; REGRESSION ANALYSIS; RISK FACTORS; TIME FACTORS;

ANIMALIA; BOS; MYCOBACTERIUM AVIUM SUBSP. PARATUBERCULOSIS;

EID: 77949491054     PISSN: 01675877     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.prevetmed.2010.01.006     Document Type: Article

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