Metabolomics signature improves the prediction of cardiovascular events in elderly subjects S. Rizza, M. Copetti, C. Rossi, M.A. Cianfarani, M. Zucchelli, A. Luzi, C. Pecchioli, O. Porzio, G. Di Cola, A. Urbani, F. Pellegrini, M. Federici Atherosclerosis Volume 232, Issue 2, Pages 260-264 (February 2014) DOI: 10.1016/j.atherosclerosis.2013.10.029 Copyright © 2013 Elsevier Ireland Ltd Terms and Conditions
Fig. 1 Principal Component Analysis factors importance estimated using Random Survival Forest Analysis. Variables with the highest variable importance values are the best predictors of MACEs. Atherosclerosis 2014 232, 260-264DOI: (10.1016/j.atherosclerosis.2013.10.029) Copyright © 2013 Elsevier Ireland Ltd Terms and Conditions