prevalence estimate

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Prevalence estimates account for stratified cluster-based study design.
In fact, it is on the low end of prevalence estimates in the literature.
The use of additional diagnostic criteria notably influenced the prevalence estimates for disorders.
Available studies have enhanced our understanding of some of the challenges faced by oncology nurses, but relatively few provided prevalence estimates of burnout or distress.
Additionally, most herds had similar lymph-node prevalence estimates between farm and abattoir.
The lifetime prevalence estimates were 3.6 % and 1.7 % respectively.
Taking this limitation into consideration, however, we may consider our prevalence estimates to be minimum prevalences.
We did not weight our data as we did not make prevalence estimates for the general population.
Raising the threshold for disability would further reduce these prevalence estimates.
Neither definition nor assessment of additional criteria are uniform between studies, however, and the effect of the latter on prevalence estimates may remain obscure.
These limitations deserve particular attention as our prevalence estimates were calculated in a followup sample.
However, individuals in the younger age groups were not found to have significantly different prevalence estimates to the middle age group.
Prevalence estimates of comorbid anxiety disorders vary widely in child bipolar studies as well.
These conditional prevalence estimates of drug use disorders are one way of estimating the liability of users to problematical substance use.
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