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For detection of HPV 16 and 18, the 95% prediction region has the most heterogeneity, occupying most of the plot in figure 3. Between study variance in specificity (6.0, 95% confidence interval 1.8 to 19.7) was higher when detecting high risk HPV compared with variance in sensitivity (0.4, 95% confidence interval 0.1 to 2.2, fig 3).
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A large portion of the between-studies variance in effect size was explained by three basic methodological factors: whether the survey asked about self or not, whether it was mailed or handed out to respondents, and whether it explicitly used the words "fabrication" and "falsification".
The metaregression showed that the regression model explained 65.33% of total between-study variance in incidence of CI-AKI.
WinBUGS is used to implement informative priors for the residual between-study variance in the context of Bayesian meta-regressions.
To quantitatively determine heterogeneity, I was calculated, i.e., the percentage between-study variance in the total variance of ES[ 30].
Tests for heterogeneity found a significant amount of between-study variance in four of the combined estimates.
We have presented three methods for performing interval estimation of the residual between-study variance in random effects meta-regression models.
Estimates of the residual between-study variance in random effects meta-regressions should be routinely reported and accompanied by some measure of their uncertainty.
For the pooled estimates of effect, heterogeneity between studies will be measured using the τ statistic (an estimate of the between-study variance in the random-effects model).
Jackson [ 8] showed that this can be used to compute confidence intervals for the between-study variance in random effects meta-analyses.
Here two methods for calculating confidence intervals for the magnitude of the residual between-study variance in random effects meta-regression models are developed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com