CD40LG and dengue disease: Latent class Bayesian modelling can be used to take this into account.61 Bayesian approaches formally acknowledge the fallibility of the gold standard and the variability of diagnostic test characteristics, allowing a better estimation of true prevalence.62 When this approach was applied to the Bangkok Armed Forces Research Institute of Medical Sciences reference IgM ELISA, a commonly used gold standard in diagnostic evaluation studies, dengue prevalence estimates rose from 15.3% to 24.3% and the sensitivity of the assay (previously assumed to be 100%) was calculated as 62%.63