Bayesian imputation of predictive values when covariate information is available and gold standard diagnosis is unavailable

Statistics in Medicine

Volumn 15, Issue 5, 1996, Pages 463-476

  Epstein, Leonardo D ^a   Muñoz, Alvaro ^a   He, David ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; HUMAN; HUMAN CELL; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; LYMPHOCYTE COUNT; MAJOR CLINICAL STUDY; POLYMERASE CHAIN REACTION; PREDICTION; VIRUS DETECTION;

ALGORITHMS; BAYES THEOREM; BLOTTING, WESTERN; CD4 LYMPHOCYTE COUNT; HIV INFECTIONS; HIV-1; HUMANS; MATHEMATICAL COMPUTING; MODELS, STATISTICAL; MONTE CARLO METHOD; POLYMERASE CHAIN REACTION; PREDICTIVE VALUE OF TESTS; SEROLOGIC TESTS;

EID: 0029913636     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19960315)15:5<463::AID-SIM177>3.0.CO;2-0     Document Type: Article

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