Bayesian latent class models with conditionally dependent diagnostic tests: A case study

Statistics in Medicine

Volumn 27, Issue 22, 2008, Pages 4469-4488

  Menten, Joris ^a,b   Boelaert, Marleen ^a   Lesaffre, Emmanuel ^b,c  

^a INSTITUTE OF TROPICAL MEDICINE   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Diagnostic accuracy; Latent class models; Sensitivity; Specificity; Visceral leishmaniasis

Indexed keywords

ANTIBODY DETECTION; ANTIGEN DETECTION; ARTICLE; BAYES THEOREM; BLOOD ANALYSIS; BONE MARROW BIOPSY; CORRELATION ANALYSIS; COVARIANCE; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; FALSE POSITIVE RESULT; HUMAN; LATENT CLASS MODEL; MEASUREMENT ERROR; MICROSCOPY; SENSITIVITY AND SPECIFICITY; SPLEEN EXAMINATION; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; URINALYSIS; VISCERAL LEISHMANIASIS;

ANIMALS; BAYES THEOREM; BIOMETRY; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, DIFFERENTIAL; DIAGNOSTIC ERRORS; DIAGNOSTIC TESTS, ROUTINE; HUMANS; LEISHMANIA DONOVANI; LEISHMANIASIS, VISCERAL; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; SENSITIVITY AND SPECIFICITY;

EID: 53349102224     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3317     Document Type: Article

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