Sentence examples for interpretation of prevalence from inspiring English sources

Reporting prevalence estimates should always specify the reference population, the method of estimation, and the data source to allow comparison and accurate interpretation of prevalence studies about multimorbidity.

To facilitate interpretation of prevalence data, we used the Chernoff bound to calculate the minimal relative abundance for which we could have 95%% certainty that we will observe at least one sequence at our sequencing effort [ 33].

Interpretation of prevalence trends is challenging and somewhat difficult because of real clinical trends over time and also because of challenges such as evolving clinical definitions (e.g. the MI definition).

The evidence from this study also suggests that the interpretation of prevalence of TDRM in population-based surveillance should be used with caution to avoid reporting falsely elevated TDR prevalence in the population.

However, naïve interpretation of prevalence trends among pregnant women as representative of all women aged 15 49 years may lead to downward biases in model-derived estimates of HIV prevalence and incidence in the general population.

Although different terminology complicates the interpretation of prevalence rates across studies, the findings are sufficiently robust to indicate that there is a higher prevalence of DEB in type 1 diabetes compared with healthy controls.

Such diversity confounds interpretations of prevalence data based on relatively conserved 18S rRNA sequences.

Also, knowing that the baseline prevalence of rhinitis in ISAYA was 14% higher among long-term participants than among the total baseline participants would infer a similar interpretation of rhinitis prevalence in a later follow-up study: a rhinitis prevalence of for instance 20% in a follow-up study would indicate a "true" rhinitis prevalence to be 14% higher, i.e. 22.8%.

Current ignorance of the prevalence of chronic conditions among well-functioning Japanese elders also limits the interpretation of the prevalence of chronic conditions among this sample.

The interpretation of these prevalence curves becomes clearer when we look at the frequency curves.

In effect, we caution the interpretation of increased prevalence in CRS among girls without a careful assessment of other factors related to pain perception and expression.