We compared various modeling strategies for logistic regression models in a paper in Stat Med 2000 and Medical Decision Making 2001.
Here are samples from GUSTO-I with code (S-plus).
In a Stat Med paper (2004) we proposed an updating procedure towards recalibrated values for a previously developed model, including shrinkage to avoid overoptimistic predictions. This idea builds on previous work by Hans van Houwelingen, see e.g. his Stat Med 2000 paper. Simulations were done with S-plus code.
Here is the R code with the data for the often cited paper on quality assessment in the prediction of binary outcomes. The val.prob.ci.2 function is here and in a package by Bavo de Cock.
At GitHub we have functions for performance assessment in survival and competing risk analysis.