A Framework for the Joint Modeling of Longitudinal Diagnostic Outcome Data and Latent Infection Status: Application to Investigating the Temporal Relationship between Infection and Disease

Biometrics

Volumn 68, Issue 2, 2012, Pages 371-379

  Jones, G ^a   Johnson, W O ^b   Vink, W D ^a   French, N ^a  

^a MASSEY UNIVERSITY   (New Zealand)

^b 5226 Donald Bren Hall   (United States)

Author keywords

Bayesian statistics; Biomarkers; Bovine digital dermatitis; Diagnostic test; Latent variable modeling; MCMC; Sensitivity; Specificity

Indexed keywords

BOOLEAN FUNCTIONS; DIAGNOSIS; FARMS; MAMMALS; STATISTICAL TESTS;

BAYESIAN STATISTICS; BOVINE DIGITAL DERMATITIS; COVARIATES; DIAGNOSTIC TESTS; JOINT MODELS; LATENT VARIABLE MODELING; MCMC; SENSITIVITY; SPECIFICITY; TEMPORAL RELATIONSHIPS;

BIOMARKERS;

BIOASSAY; BIOMARKER; DATA SET; DISEASE PREVALENCE; ENZYME ACTIVITY; INFECTIOUS DISEASE; MONITORING; NUMERICAL MODEL; RUMINANT; SENSITIVITY ANALYSIS;

ENGLAND; NORTH WALES; UNITED KINGDOM; WALES;

BOVINAE;

EID: 84862905371     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2011.01687.x     Document Type: Article

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