This can't be done directly, but if you can output predicted values from
coxme and fit an rms ols model that predicts these predicted values with an
R^2 of 1.0 you can use nomogram() on the ols fit to get what you want.
Frank
george boul wrote
Dear R-users,
I am a novice R-user with some experience in using the RMS package for
taking nomograms after various survival models.
This time, I am trying to plot a nomogram after a Random Effects Cox,
implemented by the coxme package. My questions are:
1. Is it possible to take a nomogram directly after the coxme survival
function?
2. If not is there a way to take the linear predictor results and plug
them into the RMS cox model and get the nomogram I want?
Any instructions/suggestions would be highly appreciable?
Thank you in advance
George
Dr. George Bouliotis
Research Fellow in BiostatisticsMRC-MHTMR (Midland Hub for Trials
Methodology Research) University of BirminghamPublic Health
BuildingBirmingham B115 2TTUnited Kingdom
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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