Competing Risks and Survival Tree Ensemble
In the paper the ensemble of dipolar trees for analysis of competing risks is proposed. The tool is build on the base of the learning sets, which contain the data from clinical studies following patients response for a given treatment. In case of competing risks many types of response are investigated. The proposed method is able to cope with incomplete (censored) observations and as a result, for a given set of covariates and a type of event, returns the aggregated cumulative incidence function.
KeywordsRandom Forest Failure Time Survival Tree Cumulative Incidence Function Single Survival Tree
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