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
>
> [[alternative HTML version deleted]]
>
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-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
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