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/10.1111/j.1541-0420.2010.01420.x, or the vignette "Multi-state models and competing risks" in the survival package.
best regards, Ronald Geskus, PhD head of biostatistics group Oxford University Clinical Research unit Ho Chi Minh city, Vietnam associate professor University of Oxford http://www.oucru.org/dr-ronald-b-geskus/ "Raja, Dr. Edwin Amalraj" <[email protected]> writes: > 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 variable in 'selectFGR' function. The following R code is > produced below for reproducibility. > > library(riskRegression) > library(pec) > dat <-data(Melanoma,package="riskRegression") > Melanoma$logthick <- log(Melanoma$thick) > f1 <- Hist(time,status)~age+sex+epicel+ulcer > df1 <-FGR(f1,cause=1, data=Melanoma) > df1 > df <-selectFGR(f1, data=Melanoma, rule ="BIC", direction="backward") > > Thanks in advice for your suggestion. Is there any alternative solution ? > > Regards > Amalraj raja > > > The University of Aberdeen is a charity registered in Scotland, No SC013683. > Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir. SC013683. ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
