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Table 3 Posterior probability table for latent class models (LCMs) using uniform priors for PCR characteristics and prevalence

From: Pooled PCR testing strategy and prevalence estimation of submicroscopic infections using Bayesian latent class models in pregnant women receiving intermittent preventive treatment at Machinga District Hospital, Malawi, 2010

Value Uniforma Uniform Uniform
   Placentalb Peripheralc
Sensitivity Histology (Median, CI) 0.497 (0.414, 0.588) 0.498 (0.410, 0.589) 0.504 (0.397, 0.646)
Sensitivity PCR (Median, CI) 0.960 (0.862, 0.998) 0.961 (0.859, 0.998) 0.953 (0.841, 0.998)
Specificity Histology (Median, CI) 0.976 (0.963, 0.987) 0.972 (0.955, 0.985) 0.971 (0.951, 0.986)
Specificity PCR (Median, CI) 0.991 (0.969, 0.9996) 0.994 (0.974, 0.9997) 0.964 (0.906, 0.998)
Prevalence Mozambique (Median, CI) 0.368 (0.305, 0.436) 0.370 (0.301, 0.437) 0.334 (0.252, 0.412)
Prevalence Malawi (Median, CI) 0.0813 (0.056, 0.110) 0.063 (0.039, 0.094) 0.094 (0.049, 0.150)
  1. auses all data from the current Malawi study and placental data from published work in Mozambique [13], buses only placental data from both countries, and cuses only peripheral data from both countries. Values presented are median values of posteriors and 95% credible intervals. The prevalence estimate based on the test characteristics are presented in last two rows.