I used the R package hdnom to plot a nomogram obtained from survival data, after applying the lasso method for model selection. I am trying to compare using the nomogram and the coefficients of the fitted Cox model, but I cannot figure out why the zeroes of the linear predictor and total point scale do not line up. Can anyone help explain why this is the case?
More specifically, I have the following scale:
Points per unit of linear predictor: 25.79354 Linear predictor units per point : 0.03876939
However, the zero of the linear predictor scale lines up with about 40 points on the total point scale. Is this due to rescaling of variables, or did I miss something else?