Robust Bayesian prediction of subject disease status and population prevalence using several similar diagnostic tests

Statistics in Medicine

Volumn 23, Issue 14, 2004, Pages 2227-2236

  Evans, Richard B ^a   Erlandson, Keith ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

Bayes; Bi normal model; Disease prediction; Heavy tails; Robust inference

Indexed keywords

ARTICLE; BAYES THEOREM; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC TEST; ENZYME LINKED IMMUNOSORBENT ASSAY; HUMAN; MAJOR CLINICAL STUDY; MONTE CARLO METHOD; MYCOPLASMA HYOPNEUMONIAE; NONHUMAN; OBSERVATION; OUTCOMES RESEARCH; PNEUMONIA; POPULATION RESEARCH; PREDICTION; PREVALENCE; PROBABILITY; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; SWINE DISEASE;

ANIMALS; ANTIBODIES, BACTERIAL; BAYES THEOREM; DIAGNOSTIC TESTS, ROUTINE; ENZYME-LINKED IMMUNOSORBENT ASSAY; EPIDEMIOLOGIC METHODS; MODELS, STATISTICAL; MYCOPLASMA HYOPNEUMONIAE; PNEUMONIA OF SWINE, MYCOPLASMAL; PREVALENCE; SWINE;

EID: 3242778624     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1792     Document Type: Article

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