Fig. 2.

Nomogram for Cox-Lasso regression which enables calculating individual normalized prognostic indexes (PI, given by the linear predictor line) for all-cause mortality in the following 10 years. Coefficients are based on the Lasso-Cox model as estimated by the final model for the all-cause mortality. The nomogram allows computing the normalized prognostic index (PI) for a new individual. The PI is a single-number summary of the combined effects of a patient’s risk factors and is a common method of describing the risk for an individual. In other words, the PI is a linear combination of the risk factors, with the estimated regression coefficients as weights. The exponentiated PI gives the relative risk of each participant in comparison with a baseline participant (in this context the baseline participant would have value 0 for all the continuous covariates and being at the reference category for the categorical ones). The PI is normalized by subtracting the mean PI