Significados de good calibration en inglés

Model calibration of the score showed good calibration in both cohorts.

Internal validation using bootstrapping showed good calibration, with similar predicted risk across all cohorts.

The algorithm had good calibration in the first validation cohort.

Observed and expected survival curves showed good calibration.

This model demonstrated good calibration (C-index was 0.906 and 0.802 in primary and validation cohort).

A nomogram built on these predictive variables showed good calibration and discriminatory abilities, with a c-index value of 0.847.

The nomogram had high predictive performance, with a bootstrapped corrected concordance index of 0.70, and it showed good calibration.

Both prediction models performed well, with good calibration and c-statistics of 0.84 and 0.81 for the 16-variable and 6-variable models, respectively.

The new prediction rule revealed good calibration, and with an area under the curve of 84.6%, it had good discriminative abilities.

Good calibration was achieved for the nomogram in both the training and validated datasets, with respective C-indexes of 0.827 and 0.820.