Exact(2)
All 61 internal duplicate samples showed complete concordance of integer copy number, and an average calibrated copy number was generated from all PRT systems.
The average calibrated activities were 38 ± 7 and 39 ± 5 MBq with uptake times of 91 ± 8 and 105 ± 14 min following injection, respectively, for the first and second experiments.
Similar(58)
In Maryland, Republican Larry Hogan's stunning upset victory represented a more than 17percentt understatement of his support in the HuffPollster average (which was calibrated to non-partisan polls -- polls sponsored by the Republicans late in the campaign showed a closer race, and a final Hogan internal poll had him ahead by 5).
For the prediction of micro- and macrometastases, the nomogram showed poorer discrimination, with an AUC of 0.67, and was less well calibrated (average error =10.9%).
For the prediction of macrometastases, the nomogram showed good discrimination, with an area under the receiver operating characteristic curve (AUC) of 0.76, and was well calibrated (average error =2.1%).
These flasks were incubated in the same conditions and fed at 0.3 mL h-1 average rate, using calibrated peristaltic pumps (Dasgip MP8) performing periodic additions at a rate close to 1 mL h-1.
For the prediction of metastases detected by conventional histopathology, the nomogram showed good discrimination with an AUC of 0.76 (95% CI 0.71 0.81) and was well calibrated (average error=2.1%, maximal error=10.5%), with no statistical difference between predicted probabilities and observed proportions (P-value of the U index=0.56).
Considering LN metastasis detected by conventional histologic analysis and ultrastaging, the nomogram showed poorer discrimination, with an AUC of 0.67 (95% CI 0.63 0.72), and was less well calibrated (average error=10.9%, maximal error=15.9%) with a statistical difference between predictions and observations (P-value of the U index<0.0001).
Repeat counts (manual or automated) that are averaged and properly calibrated pipettes are therefore vital.
The detailed geology was incorporated into a numerical steady-state groundwater model that was calibrated against average head observations.
Due to the average of error, the calibrated clustering-based porosity is at least 33% more accurate than the conventional methods.
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