This is a wrapper function which first selects variables in the Cox
regression model using
fastbw from the
rms package and then
returns a fitted Cox regression model with the selected variables.
A formula object with a
Name of an data frame containing all needed variables.
The method for selecting variables. See
This function first calls
fastbw and finally
Ulla B. Mogensen, Hemant Ishwaran, Thomas A. Gerds (2012). Evaluating Random Forests for Survival Analysis Using Prediction Error Curves. Journal of Statistical Software, 50(11), 1-23. URL http://www.jstatsoft.org/v50/i11/.
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