< Back to Article

A Bayesian model for repeated cross-sectional epidemic prevalence survey data

Table 2

Results from fitting the three approaches to data from the REACT-1 prevalence study.

Runtimes were measured once for each dataset considered and can vary considerably. Convergence diagnostics of maximum and minimum ESS are reported, although these are not directly comparable between the SIMPLE and Eales/Abbott approaches. Measures of fit are reported as coverage of the posterior predictive distribution and average width of 95% credible intervals on P_t (in terms of percentage points). Parameter estimates are shown as posterior means with 95% credible intervals in parentheses. Note that depends on the knot spacing, which varies slightly between study rounds, so these estimates are not directly comparable even within the same model.

doi: https://doi.org/10.1371/journal.pcbi.1013515.t002