Message-ID: <51C8BCFE.90203@vanderbilt.edu>
Date: 2013-06-24T21:41:18Z
From: Frank E Harrell Jr
Subject: Nomogram (rms) for model with shrunk coefficients
You are using an informal shrinkage method. It is much better to use
penalized maximum likelihood estimation, built in to lrm.
If you really want to go the informal route, compute the linear
predictor from your final estimates and use ols( ) to predict that from
the component variables (you'll get an R^2 of 1.0 so specify sigma= to
ols) and use nomogram on the result.
Frank
--
Frank E Harrell Jr Professor and Chairman School of Medicine
Department of Biostatistics Vanderbilt University