Sentence examples for a fixed prevalence from inspiring English sources
For a fixed prevalence, constant lifespans are consistent with lower parameter estimates than exponential lifespans.
Given a fixed prevalence, PPV was greater for shorter length of quarantine (especially, for t < 1 day) due mainly to the relative increase in detection of true positives by rapid diagnostic testing (see equation (6)).
The shortcoming of the PR vis-à-vis CIR is plainly depicted in Figure 1, which shows how the latter varies according to the duration of outcome, given fixed prevalences among exposure groups and time period (Δt) concerning the risks involved in the projected CIR.
Third, for a fixed treatment prevalence and underlying marginal hazard ratio, the differences in statistical power between RCTs and observational studies tended to increase as the strength of the treatment-selection process increased (i.e. with increasing c-statistic of the treatment-selection model).
Because we had a sample of known positive ticks, we were able to share information on the detection probability from this sample with the unknown prevalence sample by fixing prevalence for these ticks to 1 and modeling the detection parameters in common across the two groups of ticks.
Features of this model included: use of age-specific estimates of test-sensitivity and specificity; use of a distribution of observed values (rather than a fixed, low value) for design prevalence; and estimates of the probability of low prevalence (PrLow) based on a specific number of test-positive animals, rather than for a result less than or equal to a specified cut-point number of reactors.
For example, frequentist methods assume that true prevalence is a fixed unknown quantity by which a randomly chosen individual from the population is infected [ 7].
Thus, a fixed threshold of for example <20%% prevalence of quinolone resistance for instituting quinolone prophylaxis as suggested by Bow [ 59] cannot be generally advised (E-III).
The overall prevalence was estimated as the predicted value from a model that contained only a fixed intercept and a random intercept for the different studies.
