On the estimation of disease prevalence by latent class models for screening studies using two screening tests with categorical disease status verified in test positives only

Statistics in Medicine

Volumn 29, Issue 11, 2010, Pages 1206-1218

  Chu, Haitao ^a,b   Zhou, Yijie ^c   Cole, Stephen R ^a   Ibrahim, Joseph G ^a  

^a IL   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

^c MERCK RESEARCH LABORATORIES   (United States)

Author keywords

Bayesian inference; Dependence; Diagnostic test; Latent class models; Maximum likelihood; Screening

Indexed keywords

ADULT; ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER INVASION; CANCER SCREENING; CLINICAL EXAMINATION; COLPOSCOPY; CONDYLOMA; CONTROLLED STUDY; DIAGNOSTIC TEST; FEMALE; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MAMMOGRAPHY; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; PAPANICOLAOU TEST; PARAMETRIC TEST; PHYSICAL EXAMINATION; PREVALENCE; PROBABILITY; SCREENING TEST; SIMULATION; UTERINE CERVIX CANCER;

ADULT; BAYES THEOREM; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; HUMANS; MAMMOGRAPHY; MIDDLE AGED; MODELS, STATISTICAL; PREVALENCE; UTERINE CERVICAL NEOPLASMS; VAGINAL SMEARS;

EID: 77951609790     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3862     Document Type: Article

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