Mean coverage probabilities in per cent.
On the one hand, the model takes into consideration frequency planning and scheduling aspects; and on the other hand, it provides tractable formulae of the end-user mean capacity and coverage probability in order to properly dimension the hybrid network.
Through simulation, we compare the proposed models to standard logistic models in terms of bias, mean squared error, coverage probability, and power.
Through simulation, we have shown that the proposed models outperform standard logistic models in terms of bias, mean squared error, coverage probability, and power under a range of treatment effect and visit process scenarios designed to reflect a PMTCT setting.
In each case, the relative bias of the optimal threshold estimate stemming from the mean, the median, and the mode of the posterior distribution were calculated, as well as the mean width, and the coverage probability of the 95% credible interval obtained with the quantile or the HPD method.
A question outside the scope of this paper is whether it is possible to develop Bayesian methods that would have performance comparable to the frequentist methods across all scenarios in terms of mean interval width and coverage probability.
Our procedures rely on asymptotic results, so we investigate small-sample behavior and compare the two procedures in terms of simultaneous coverage probability and mean interval length.
Performance of the methods was assessed using standardized bias, empirical standard error, root mean squared error (RMSE), and coverage probability.
The CI for the cut-point for each of the investigated methods was subsequently evaluated by computing coverage probability and mean length.
