Additional file 1: of Latent class analysis to evaluate performance of point-of-care CCA for low-intensity Schistosoma mansoni infections in Burundi

Table S1. Bayesian Deviance Information Criterion (DIC) from models with different covariances fitted. Table S2. Summary statistics by school and prevalence estimates for each separate test by school. Table S3. Comparison of CCA results in Burundi and Leiden. Table S4. Test result combinations overall and by school, when CCA trace was considered negative and positive. Table S5. Estimate and 95% BCIs of difference between same estimates from trace negative and trace positive models presented in Table 4. Table S6. Output from LCA when specificity of CAA fixed to 100%. Table S7. Estimate and 95% BCIs of difference between same estimates from different models. Table S8 Estimated test and infection prevalence when specificity of CAA fixed to 100%. Fig. S1. Sensitivity of models to prior assumptions. Code S1. Code for running the LCA in R2OpenBugs (DOCX 845 kb