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Confidence intervals are calculated using the Clopper Pearson interval.
Based on a 3 day observational period, parameter intervals are calculated such that the measured glucose responses are inside the bounds given by the output of the model.
With normalized nonconformity measure, individual intervals are calculated for each compound.
The 95% confidence intervals are calculated by a 5,000-fold 5,000-folding of a 10% sample to determine the sensitivity of our results to random network sampling variations.
In our case, 95% confidence intervals are calculated such as to include in the intervals at least 95% of the points predicted to belong to the associated geometric feature.
Incidence estimates are expressed as an incidence rate (number of new HIV infections per 100 person-years), and confidence intervals are calculated using a delta method approximation.
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The 95% confidence intervals were calculated as exact binomial intervals.
95% confidence intervals were calculated for the line equation parameters.
These intervals were calculated separately for gamma and beta burst rates.
Adjusted odds ratios and 95% confidence intervals were calculated.
Odds ratios and 95% confidence intervals were calculated.
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