Displaying 6 results from an estimated 6 matches for "predictabel".
Did you mean:
predicable
2012 May 16
1
Hmisc improveProb() and PredictABEL reclassification () function and continuous NRI
Dear Sirs.
I am working with the R packages Hmisc and PredictABEL to make NRI estimates from my Cox models with and without a specific biomarker.
According to Pencina et al (Statistics in Medicine 2010, DOI: 0.1002/sim.4085 ), a continuous/non-categorical NRI (NRI>0) is to be used when there are no obvious reason to categorize risk, such as the risk of future...
2011 Apr 06
0
[R-package] PredictABEL 1.1: Assessment of risk prediction models in R
An embedded and charset-unspecified text was scrubbed...
Name: not available
URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20110406/0e5c56a5/attachment.pl>
-------------- next part --------------
_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
2011 Apr 06
0
[R-package] PredictABEL 1.1: Assessment of risk prediction models in R
An embedded and charset-unspecified text was scrubbed...
Name: not available
URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20110406/0e5c56a5/attachment.pl>
-------------- next part --------------
_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
2012 Nov 07
2
R: net reclassification index after Cox survival analysis
...rimination Index IDI after
survival analysis (Cox proportional hazards using stcox). I search a R
package or a R code that specifically addresses the categorical NRI for
time-to-event data in the presence of censored observation and, if
possible, at different follow-up time points.
I know that the ?PredictABEL? Package contains functions for NRI and IDI
calculation but it is unclear for me if it allows censored observation.
Package ?survIDINRI? calculates only continuous NRI and the function of
Package ?Hmisc?[#rcorrp.cens(x1, x2, y) ##] is only for no censored
observations.
Many thanks.
Sincerely,
Ma...
2012 Dec 22
1
NRI reclassification table improveProb Cox
As describe in the Hmisc package's improveProb function, that function is for
binary Y. And it's best to use category-free methods.
Frank
Petergodsk wrote
> Hi
>
> I'm new to R.
>
> Is it possible to use the improveProb function to generate categorybased
> NRI using a Cox model?
> I believe I saw someone mentioning the possibility, but I can't find the
2012 Jan 17
2
net classification improvement?
Greetings,
I have generated several ROC curves and would like to compare the AUCs.
The data are cross sectional and the outcomes are binary. I am testing
which of several models provide the best discrimination. Would it be most
appropriate to report AUC with 95% CI's?
I have been looking in to the "net reclassification improvement" (see
below for reference) but thus far I can only