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The model was able to separate patients into distinct prognostic groups, and predicted well at the patient level, mean Brier Accuracy Score=0.17 (s.e.=0.004) and overall C=0.745 955% CI, 0.717 0.773).
The mean Brier accuracy score was 0.15 (s.e.=0.005).=0.005
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The mean Brier score is the average Brier score amongst all patients.
Brier accuracy scores (concerned with performance at the individual patient level) were calculated for each patient and then averaged (Brier, 1950).
From these risks, the mean Brier score, AUC and IDI were calculated.
The performance of the prognostic models was assessed by ROC curves, the AUC and the mean Brier score.
The mean Brier score (BS), area under the receiver-operating characteristic curve (AUC) and integrated discrimination improvement (IDI) were used for model comparison.
As shown in Table 1 the mean Brier score of the model with glucose (2216x10-5) and cholesterol (2232x10-5) were similar, and no statistically significant difference could be found (p-value 0.287).
Percent change in 2-back accuracy was calculated as (mean accuracy on 2-back/4 minus mean accuracy on 2-back/1) divided by mean accuracy on 2-back/1.
High confidence means high accuracy.
What this means, Mr. Brier said, is that the options for operating various devices in the house -- both remotely and from the device itself -- are virtually limitless.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com