Displaying 3 results from an estimated 3 matches for "epicel".
2018 Mar 18
1
selectFGR - variable selection in fine gray model for competing risks
...ce 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 Sco...
2018 Mar 21
1
selectFGR vs weighted coxph for internal validation and calibration curve- competing risks model
...#39;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 Un...
2018 Mar 21
0
selectFGR - variable selection in fine gray model for competing risks
...#39;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 Un...