Sentence examples for prevalence removed from inspiring English sources

The use of prevalence removed the bias associated with different sampling frequencies.

For this reason, we adjusted the 2008 measurement of prevalence to remove the effect of ART.

In order to fit the levels of prevalence after removing the differential susceptibility for women (H1'), a higher transmission probability by sex-act of 0.003194 is needed (29% higher than H0).

Transfers from GP or non-governmental programmes (n = 8) were included for TB prevalence analysis but removed before incidence and survival analysis because of unknown previous ART regimens.

By primarily adjusting for an over-sampling of women aged 15 19 years in the population-based surveillance, and for an under-sampling of women aged 35+ years in ANC surveillance, age-standardisation reduced differences between the two sources of prevalence estimates, and removed the statistically significant difference in the rural location group (Table 4).

Besides their lower number of observation years (9,109 compared to 24,808 in our study), there were methodological differences between the studies: Metcalf et al. used questionnaires and had a mean follow-up time of 6.1 years, implying they had no identified prevalence round and were unable to remove prevalence cancers.

When patients with acute and transient psychoses, and manic episodes, as well as bipolar disorders are removed, the prevalence of diabetes in non-affective psychoses (primarily schizophrenia) is 0.9% at 3 years, 2.4% at 5 years, and 3.3% at 6 years.

It was decided that any mutation that has prevalence <0.1% should be removed from the screening panel, but that henceforth, decisions would be based on the benefits and costs of incremental gain in the performance characteristics of the screening test as defined here.

In other words, do human impacts on biodiversity increase the prevalence of diseases by eroding natural "checks and balances" on transmission, or do they decrease prevalence when they remove the free-living biodiversity on which disease agents depend?

Prevalence data was log transformed and the few zero disease prevalence counts that did occur removed in order to achieve a normal/pseudo-normal distribution.

Then we observe how the age distribution change the prevalence of the latent and removed populations.