Fig. 2

Logistic regression analysis. We provided the classification (i.e., “normal” or “pathological”) and the normalized concentrations of the model-identified prognostic biomarkers from the 120,000 simulations as inputs to logistic regression models. The models yielded logistic regression coefficients for each model-identified biomarker and the probability of a given simulation being “pathological” based on one, two, or three biomarkers as predictors. We used the probabilities resulting from the logistic regression models to derive the ROC curves (see Additional file 1 for further details)