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Performance of the optimized model was assessed using the independent data set.
ROIs were defined using the data acquired during sparse fMRI acquisition and their responses were analyzed using the independent data set obtained in sessions using continuous imaging.
The accuracy of the cross-validation is similar to the initial accuracy of 74.29% computed using the independent data set, illustrating the robustness and reproducibility of the proposed network-based biomarker approach.
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The predictive accuracy of each multivariate calibration model was assessed using the independent prediction data set (n = 67).
Finally, the accuracy of the models to predict CH and CRF was tested using the independent validation data made up of 43 normal participants.
To assess the independent prognostic value of the supervised wound-response signature, it was tested in a Cox regression model that also included known clinico-pathological risk factors for local recurrence, using the independent validation data set.
Moreover, because PFS from independent reviews showed discordance with OS in both studies, it is further appropriate to explore the reasons of such discordance using the independent review data.
Predictive performance of the best subset models was evaluated with an area under the curve (AUC) in a receiver operating characteristic (ROC) analysis using the independent test data withheld from the original datasets [ 40].
Continuous variables within the two groups were compared using the independent t-test for parametric data and the Mann–Whitney U test for non-parametric data.
Group differences were calculated using the independent t-test for parametric data or the Mann–Whitney U-Test for non-parametric data.
Differences between groups at baseline were analysed using the independent t-test for continuous data (or Mann–Whitney U test for non-normally distributed data).
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