Direk LimmathurotsakulNarisara ChantratitaNittaya TeerawattanasookKomson PiriyagitpaiboonAunchalee ThanwisaiVanaporn WuthiekanunNicholas P J DayBen CooperSharon J. PeacockMahidol UniversityDepartment of Clinical PathologySappasitthiprasong HospitalNuffield Department of Clinical MedicineUniversity of Cambridge2018-05-032018-05-032011-04-15Clinical Infectious Diseases. Vol.52, No.8 (2011), 1024-102815376591105848382-s2.0-79953902011https://repository.li.mahidol.ac.th/handle/20.500.14594/12540We used Bayesian latent-class models to generate receiver operating characteristic curves and to revise the cutoff values for an enzyme-linked immosorbent 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%). © 2011 The Author.Mahidol UniversityMedicineArticleSCOPUS10.1093/cid/cir080