Dear Raja,
A Fine and Gray model can be fitted using the standard coxph function with
weights that correct for right censoring and left truncation. Hence I
guess any function that allows to perform stepwise regression with coxph
should work. See e.g. my article in Biometrics
https://doi.org/10.111
Dear Raja
the technical problem is that the function crrstep does not communicate
the selected variables in a proper way. the function pec::selectFGR uses
rownames(crrstep.fit$coefficients). the other problem is that I don't
like and never use backward elemination -- so, I am not motivated to fix
Dear All,
I would like to use R function 'selectFGR' of fine gray model in competing
risks model. I used the 'Melanoma' data in 'riskRegression' package. Some of
the variables are factor. I get solution for full model but not in variable
selection model. Any advice how to use factor vari
3 matches
Mail list logo
