Negative correlations between biomarkers maximize the combined AUC in multivariate normal models, with the largest gains when markers have equal predictive power, as shown by derivation, simulations, and pancreatic cancer metabolite data.
Prediction Models — Development, Evaluation, and Clinical Application
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Evaluating the role of correlation among markers in prediction models
Negative correlations between biomarkers maximize the combined AUC in multivariate normal models, with the largest gains when markers have equal predictive power, as shown by derivation, simulations, and pancreatic cancer metabolite data.