Prevalence estimation subject to misclassification: The mis-substitution bias and some remedies

Statistics in Medicine

Volumn 33, Issue 25, 2014, Pages 4482-4500

  Zhang, Zhiwei ^a   Liu, Chunling ^b   Kim, Sungduk ^c   Liu, Aiyi ^c  

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

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

Dilution effect; Group testing; Maximum likelihood; Optimal design; Pooled testing; Sensitivity; Specificity; Test error

Indexed keywords

ACCURACY; ARTICLE; ASSAY; CALCULATION; ENZYME LINKED IMMUNOSORBENT ASSAY; GOLD STANDARD; HIV TEST; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PREVALENCE; SENSITIVITY AND SPECIFICITY; SIMULATION; VALIDITY; BLOOD DONOR; CANADA; COMPUTER SIMULATION; CONFIDENCE INTERVAL; FEMALE; HIV INFECTIONS; HUMAN; MALE; METHODOLOGY; STATISTICAL ANALYSIS; STATISTICAL BIAS;

BIAS (EPIDEMIOLOGY); BLOOD DONORS; CANADA; COMPUTER SIMULATION; CONFIDENCE INTERVALS; DATA INTERPRETATION, STATISTICAL; FEMALE; HIV INFECTIONS; HUMANS; MALE; PREVALENCE; RESEARCH DESIGN;

EID: 84927578994     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6268     Document Type: Article

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