Sentence examples for a prevalence effect from inspiring English sources

A prevalence effect exists when the proportion of agreements on the positive classification differs from that of the negative classification [ 19].

Although we could not statistically confirm a prevalence effect of clear cell carcinoma, five of 11 patients with clear cell carcinoma (45%) developed pretreatment VTE, compared with 24% with non-clear cell carcinoma.

The objective of this paper is to test "the paradox of health" in Catalonia, analysing health status changes from 1994 to 2006, and decomposing the estimated differences into three components: a "prevalence effect" of chronic conditions, a "severity effect", and an interaction due to simultaneous differences in prevalence and severity of chronic conditions between these years.

A greater prevalence effect leads to a higher prevalence index, greater chance agreement, and consequently, a reduced kappa [ 13].

This was confirmed by a significant interaction between target prevalence and target presence, F 1, 140) = 103.23, p < 0.001, ηp 2 = 0.42, driven by a much larger prevalence effect in target-absent trials.

For the three age and sex groups with statistically significant changes in mean VAS, there has been an increase in the prevalence effect and a decrease in the severity effect.

So, the decrease in mean VAS (-4.055) is due to an increase in the prevalence effect.

The decrease in mean VAS for women aged 65-74 and 75 and more could be explained by an increase in the prevalence effect, which does not offset the decrease in the severity effect.

The decrease in mean VAS for women aged 65-74 years and 75 years and more could be explained by an increase in the prevalence effect, which does not offset the decrease in the severity effect.

For women aged 65-74 years and 75 years and more, although there is an improvement of their life expectancy, the prevalence of chronic conditions increases, and their self-perceived health decrease due to an increase in the prevalence effect, which offsets the decrease in the severity effect.

Looking at the specific variables, there is a positive contribution to the prevalence effect of osteoarthritis (it decreases from 1994 to 2006), and a negative contribution of nervous problems-depression and non common chronic conditions (both increase from 1994 to 2006).