Displaying 4 results from an estimated 4 matches for "riskregression".
2018 Mar 18
1
selectFGR - variable selection in fine gray model for competing risks
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 <-da...
2018 Mar 21
1
selectFGR vs weighted coxph for internal validation and calibration curve- competing risks model
...ford http://www.oucru.org/dr-ronald-b-geskus/
"Raja, Dr. Edwin Amalraj" <amalraj.raja at abdn.ac.uk> 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(riskRegress...
2018 Mar 21
0
selectFGR - variable selection in fine gray model for competing risks
...ford
http://www.oucru.org/dr-ronald-b-geskus/
"Raja, Dr. Edwin Amalraj" <amalraj.raja at abdn.ac.uk> 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(riskRegress...
2017 Aug 11
0
Cox model with time-dependent coefficients
...ula (see code in link), I'm a bit confused how prediction is going to work. At the initial time t=0 I have no idea of the future particularly in which time group the new customer will be.
To compare my models I use the time depended AUC calculated by the "score" function from package riskRegression. It internally uses a prediction function but when applying it to the extended model and the new test set it says "strata(time group) not found".
When splitting my test set with survSplit the same way I did for the training set, it works and I get a nice AUC plot. But I am afraid if thi...