Modelling of Infectious Disease CEntre

Publication of the website
Publications related to "Imperfect Gold Standard Models"
Our publications
  1. Blacksell SD, Lim C, Tanganuchitcharnchai A, et al. Optimal cutoff and accuracy of an IgM enzyme-linked immunosorbent assay for diagnosis of acute scrub typhus in northern Thailand: an alternative reference method to the IgM immunofluorescence assay. J Clin Microbiol 2016; 54(6):1472-8.
  2. Lim C, Blacksell SD, Laongnualpanich A, et al. Optimal cutodd titers for indirect immunofluorescence assay for diagnosis of scrub typhus. J Clin Microbiol 2015; 53(11):3663-6.
  3. Lim C, Paris DH, Blacksell SD, et al. How to determine the accuracy of an alternative diagnostic test when it is actually better than the reference tests: a re-evaluation of diagnostic tests for scrub typhus using Bayesian LCMs. PLoS One 2015;5:e0114930.
  4. Limmathurotsakul D, Jamsen K, Arayawichanont A, et al. Defining the true sensitivity of culture for the diagnosis of melioidosis using Bayesian latent class models. PLoS One 2010;5:e12485.
  5. Limmathurotsakul D, Turner EL, Wuthiekanun V, et al. Fool's gold: why imperfect reference tests are undermining the evaluation of novel diagnostics: a reevaluation of 5 diagnostic tests for leptospirosis. Clin Infect Dis 2012; 55(3):322-31
  6. Limmathurotsakul D, Chantratita N, Teerawattanasook N, et al. Enzyme-linked immunosorbent assay for the diagnosis of melioidosis: better than we thought. Clin Infect Dis 2011;52:1024-8.
  7. Pan-Ngum W, Blacksell S, Lubell Y, et al. Estimating the true accuracy of diagnostic tests for dengue infection using Bayesian latent class models. PLoS ONE 2012;8(1):e50765.
Recommended publications
  1. Hui SL, Walter SD. Estimating the error rates of diagnostic tests. Biometrics 1980;36:167-71.
  2. Xiao HZ, McClish DK, Obuchowski NA. Methods for Correcting Imperfect Standard Bias. Statistical Methods in Diagnostic Medicine: Wiley-Interscience; 2002. 
  3. Joseph L, Gyorkos TW, Coupal L. Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard. Am J Epidemiol 1995; 141: 263-272.
  4. Dendukuri N, Joseph L. Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Biometrics 2001;57:158-67.
  5. Toft N, Jorgensen E, Hojsgaard S. Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard. Prev Vet Med 2005; 68: 19-33.
  6. Goetghebeur E, Liinev J, Boelaert M, Van der Stuyft P. Diagnostic test analyses in search of their gold standard: latent class analyses with random effects. Stat Methods Med Res 2000; 9: 231-248. 
Other web applications for imperfect gold standard models
  1. Department of Epidemiology and Biostatistics, McGill University
Publications related to "Models of Malaria infection"
  1. Saralamba S, Pan-Ngum W, Maude RJ, et al. Intrahost modeling of artemisinin resistance in Plasmodium falciparum. Proc Natl Acad Sci 2011;108:397-402.
  2. Hoshen MB, Na-Bangchang K, Stein WD, Ginsburg H. Mathematical modelling of the chemotherapy of Plasmodium falciparum malaria with artesunate: postulation of 'dormancy', a partial cytostatic effect of the drug, and its implication for treatment regimens. Parasitology 2000;121 ( Pt 3):237-46.
  3. Gravenor MB, van Hensbroek MB, Kwiatkowski D. Estimating sequestered parasite population dynamics in cerebral malaria. Proc Natl Acad Sci 1998;95:7620-4.
  4. White NJ, Chapman D, Watt G. The effects of multiplication and synchronicity on the vascular distribution of parasites in falciparum malaria. Trans R Soc Trop Med Hyg 1992;86:590-7.
  5. Kwiatkowski D, Nowak M. Periodic and chaotic host-parasite interactions in human malaria. Proc Natl Acad Sci 1991;88:5111-3.
  6. Anderson RM, May RM, Gupta S. Non-linear phenomena in host-parasite interactions. Parasitology 1989;99 Suppl:S59-79.