title: Enzyme-linked immunosorbent assay for the diagnosis of melioidosis: better than we thought.
abstract: We used Bayesian latent-class models to generate receiver operating characteristic curves and to revise the cutoff values for an enzyme-linked immunosorbent assay that has been developed previously for melioidosis. The new cutoff was unbiased towards misclassification caused by an imperfect gold standard and resulted in an increase in both sensitivity (from 66.4% to 80.2%) and specificity (82.1% and 95.0%).
authors: Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand. direk@tropmedres.ac
authors: Direk
authors: D
authors: Limmathurotsakul
authors: Narisara
authors: N
authors: Chantratita
authors: Nittaya
authors: N
authors: Teerawattanasook
authors: Komson
authors: K
authors: Piriyagitpaiboon
authors: Aunchalee
authors: A
authors: Thanwisai
authors: Vanaporn
authors: V
authors: Wuthiekanun
authors: Nicholas P J
authors: NP
authors: Day
authors: Ben
authors: B
authors: Cooper
authors: Sharon J
authors: SJ
authors: Peacock
mesh_terms: D000328:Adult; D000368:Aged; D001431:Bacteriological Techniques / Q000379:methods*; D004797:Enzyme-Linked Immunosorbent Assay / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D008554:Melioidosis / Q000175:diagnosis*; D008875:Middle Aged; D012372:ROC Curve; D012680:Sensitivity and Specificity