Exact(10)
The failure probability of a system at an uncertain state can be estimated within a precise confidence interval using the Monte-Carlo sampling technique.
This large series of cases allows for a complete descriptive analysis of likely predictors for the potential causative agent of childhood meningitis with precise confidence intervals, prior to lengthy culture and laboratory results.
A bootstrap analysis was used to calculate precise confidence intervals.
However, the associations we noted are plausible and we reported precise confidence intervals to support interpretation.
ROC curve shapes also show that trimming methods lead to more precise confidence values.
Results were similar, although the 'complete cases' approach produced slightly higher odds ratios and less precise confidence intervals.
Similar(49)
In the analyses, these weights (and replicate weights) were used to generate appropriate standard errors from which precise 95% confidence intervals were estimated.
This is supported by the precise 95% confidence intervals.
The small sample size produces less precise (wide confidence intervals) results and prohibits more in-depth multivariate analyses.
Sensitivities and specificities with precise 95% confidence intervals (CIs) were calculated for all single and composite markers [ 27].
By pooling data across trials, we reduced the uncertainty surrounding the treatment effects and obtained more precise 95% confidence intervals.
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