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To assess the predictive performance, we performed two analyses.
All the previous examples demonstrated the predictive performance in simple 2-class prediction.
The predictive performance equals 1 for perfect predictions and is close to zero for poor predictions.
The predictive performance of the constructed models was evaluated by performing k-fold cross validation.
The predictive performance of the myelosuppression model was evaluated by prediction-corrected VPCs (500 simulations).
Prediction-corrected VPCs were also assessed to judge the predictive performance of the developed models.
The predictive performance of the final biomarker and tumor model were evaluated using (prediction-corrected) VPCs.
They found that the predictive performance was low, too.
The predictive performance showed an AUC of 0.74 [0.66–0.82].
We use a technique called cross-validation which reports the predictive performance and generalisation ability of statistical models.
For later time points the predictive performance ceased.
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CEO of Professional Science Editing for Scientists @ prosciediting.com