[R] ROCR for combination of markers

[Eik Vettorazzi]

Hi Rasanga,
you may have a look at the 'improveProb' function from the Hmisc
package. There you can compare the increase in prognostic power for
several combinations of markers. You can create a ROC curve for a
combination of markers by using the predicted risks eg. from a logistic
regression model.

To compare ROC curves of competing markers you can use 'roc.area.test'
from the 'clinfun' package or 'hanley' from gcl.

hth.


Am 27.04.2011 23:17, schrieb Rasanga Ruwanthi:
> Dear list
>  
> I have 5 markers that can be used to detect an infection in combination. Could you please advise me how to use functions in ROCR/ other package to produce the ROC curve for a combination of markers?
>  
> I have used the following to get ROC statistics for each marker.
> pred <- prediction(y$marker1, y$infectn)
> perf <-performance(pred,"tpr","fpr")
> plot(perf,ave="threshold",spread.estimate="boxplot")
> 
> But I want know whether we could get this for more than one marker, so we can look at how good the markers in combination to predict the infection. I'm very grateful for any suggestion/help.
>  
> Thanks
> Rasanga
>  
> 
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-- 
Eik Vettorazzi
Institut für Medizinische Biometrie und Epidemiologie
Universitätsklinikum Hamburg-Eppendorf

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