Figure 2.

Increase in MSE due to measurement error of prevalence

Using prevalence that has not been completely accurately measured results in an increase in the mean squared error. However, the proposed formula is more robust to this kind of misspecification, as it yields a lower MSE increase across all scenarios. For datasets created under simulation scenario 1, the error bar indicates the 95% CI via a bootstrapping procedure with 250 replicates.