A critical appraisal of logistic regression‐based nomograms, artificial neural networks, classification and regression‐tree models, look‐up tables and risk‐group stratification models for prostate cancer

To evaluate several methods of predicting prostate cancer‐related outcomes, i.e. nomograms, look‐up tables, artificial neural networks (ANN), classification and regression tree (CART) analyses and risk‐group stratification (RGS) models, all of which represent valid alternatives.

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