Bayesian analysis of diagnostic test accuracy when disease state is unverified for some subjects

Journal of Biopharmaceutical Statistics

Volumn 21, Issue 5, 2011, Pages 954-970

  Pennello, Gene A ^a  

^a CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

Author keywords

Data augmentation; Gibbs sampling; Missing at random; Nonignorable missing data mechanism; Selection model; Sensitivity analysis

Indexed keywords

ALGORITHM; ARTICLE; BAYESIAN LEARNING; DIAGNOSTIC ACCURACY; LIVER DISEASE; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; PRIORITY JOURNAL; SCINTIGRAPHY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; DIAGNOSTIC TESTS, ROUTINE; DISEASE; FALSE NEGATIVE REACTIONS; HUMANS; LIKELIHOOD FUNCTIONS; LIVER DISEASES; MODELS, STATISTICAL; MODELS, THEORETICAL; RADIONUCLIDE IMAGING; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SENSITIVITY AND SPECIFICITY;

EID: 80051722763     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2011.590921     Document Type: Article

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