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The mean average time-dependent AUCROC of the seven-covariate clinico-pathological model is 0.712.
The mean average time-dependent AUCROC distribution of these reduced models is 0.757, significantly higher than the corresponding distribution of the 18-variable full models (P = 0.0021606, Mann-Whitney U-test).
The difference between the means of the average time-dependent AUCROC distributions of full models (0.625) and reduced models (0.675) in the lower NPI group reached significance (P < 10-10).
The mean cross-validated average time-dependent AUCROC of this 18-covariate model is 0.746 at 15 years.
The mean of the average time-dependent AUCROC distribution (0.71) is significantly higher than the mean of the full 17-variable model (0.63, P < 10-10).
The mean expected deviation from average time-dependent travel speeds due to accident influences is only 1.02% (see Section 3.1), so obtained improvements of up to 8.99% may seem surprising at a first glance.
The mean of the distribution of average time-dependent AUCROCs of the 18-covariate models obtained by 100 10-fold cross-validations is significantly higher than the corresponding distribution mean of the 14-covariate protein-based model (P < 10-10).
The average time-dependent AUCROC measure is a variant of the weighted average of time-dependent ROC curve approaches [ 21- 23].
We refer to this measure as the average time-dependent AUCROCs across all death events.
The average time-dependent AUCROC of this protein-based model is 0.627.
Both are analyzed by means of a time dependent large eddy simulation in this paper.
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