Sentence examples for calibrated scoring from inspiring English sources

Based on the hypoxia scoring of the tumors according to a calibrated scoring system [ 28] three tumors with a high percentage of hypoxia (> 15% of the viable area) were chosen for analysis of TRIB3 expression.

The GAP scoring system was compared to the calibrated scoring systems with data from a total of 13,691 patients in a validation data set using c-statistics and reclassification tables with three defined risk groups based on a previous publication: low risk (mortality < 5%), intermediate risk, and high risk (mortality > 50%).

At present, Jonathan Berman's conducting is a rather coarse-grained affair: he has yet to unlock the beauties latent in Debussy's exquisitely calibrated score.

The calibrated score thus derived is a measure of a unidimensional construct, cognitive ability.

Table 3 shows the Spearman correlation coefficients (rho) among the Rasch calibrated scores for the PIPP subscales.

Same-origin and different-origin scores, s dev, from the development database are used to train the calibration weights, i.e. the intercept and regression coefficient of the logistic regression model, and subsequently these calibration weights can then be used to calibrate scores from the test database.

Managers discussed those elements and entered comments into a system designed to calibrate scores on a curve, Cuellar said.

The ROC analysis was applied to calibrate score cut-offs by estimating a likelihood ratio positive (LR+) for each distinct score cut-off.

Higher values indicate higher severity; SE = standard error; rt = correlation between item and total measured social maladjustment level based on the Rasch calibrated item scores and total scores.

To compare the DASH score with the SF-36 we calibrated the score to a 100-point metric score from 0 (worst health) to 100 (best health).

Finally, to compare the GAP score with trauma scores such as MGAP, RTS, T-RTS and TRISS, we calibrated each score to our population by fitting a logistic regression model to predict the probability of mortality in the derivation data set.