Displaying 3 results from an estimated 3 matches for "logthick".
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2018 Mar 18
1
selectFGR - variable selection in fine gray model for competing risks
...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
Amal...
2018 Mar 21
1
selectFGR vs weighted coxph for internal validation and calibration curve- competing risks model
...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 alterna...
2018 Mar 21
0
selectFGR - variable selection in fine gray model for competing risks
...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 alterna...