I have built a random survival forest using R package randomForestSRC. The OOB error rate is around 10%. I was wondering whether anyone had some experience in utilizing the outputs from this model for producing the "predicted future survival time"?



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In the past, the authors of the randomForestSRC package have published a couple of articles on the subject that you may find useful for developing predicted survival curves.

For example, in this article, the authors provide some R code used to "predict" survival curves for a new set of data that they created on 3 made-up individuals to assess the "accuracy" of predicted survival curves.

On a side note, I have been unsuccessful in finding much literature on the use of random forests for survival curve prediction; hence, I am wary about applying such modeling to real-world applications - especially, since it is a paradigm shift from inferential to predictive application.


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