So...I wouldn't suggest the trying all possible logistic models approach either
and I'm not sure exactly what your goals are in modeling.
However, I've been fiddling around with the variable importance (varimp)
functions that come with the randomForest and party packages. The idea is to
get an
Hi,
There is an excellent article at http://www.biomedcentral.com/1471-2105/9/307
by Stroble, et al. describing variable importance in random forests. Does
anyone have any suggestions (besides imputation or removal of cases) for how to
deal with data that *have* missing data for predictor vari
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