Targeted surveillance is appropriate for prevalence estimation when one has representative and justifiable estimates of key epidemiologic parameters.
The cancer prevalence estimation is not straightforward, as it cannot be estimated directly from the population-based data due to time limited registration, and thus it has to be modelled.
Finally, the prevalence based on shorter periods of time (1 to 7 weeks) was also calculated, in order to estimate the minimum period needed for a reliable prevalence estimation.
Capture-recapture analysis, which relies on identifying unique individuals across multiple datasets, can potentially improve the accuracy of prevalence estimation, and has been applied in municipalities outside the US to estimate populations of illicit drug users [ 32- 35].
Attribution of YLDs to headache depends, essentially, on prevalence estimation and disability weighting.
The resulting impact of the methodology on health outcome prevalence estimation was assessed.
Cases of migraine and probable migraine, and of TTH and probable TTH, were combined for prevalence estimation and burden analyses.
Cases of migraine and probable migraine, and of TTH and probable TTH, were combined for prevalence estimation and further analyses.
UK Biobank was not designed to be a fully representative population sample so prevalence estimation is precluded.
Cases of migraine and probable migraine, and of TTH and probable TTH, were then combined for prevalence estimation and further analyses [15].
We reviewed Bayesian approaches for animal-level and herd-level prevalence estimation based on cross-sectional sampling designs and demonstrated fitting of these models using the WinBUGS software.
