… recursion strategy for interval censoring and address the challenges of interval censoring—…
the full conditional survival probabilities of censored subjects, employing kernel smoothing of …

… forest method for interval-censored data based on the conditional inference framework. We
describe how this framework can be adapted to the situation of interval-censored … recursive …

… the log-rank score into CIF for intervalcensored data [20]. The … in a recursive forest and
this forest is suitable for Case I interval-censored data which is a special type for interval-censored …

… recursively among a set of directions selected at random and fits a simple model in each
resulting region, random forests … Although random forest is originally proposed for regression …

… forests: censoring unbiased regression trees and censoring … survival forests, conditional
inference forests, and recursively … forests when outcomes can be censored (ie, right censored). …

… over the constructed recursive survival trees to obtain a comprehensive estimate. Next
subsections describe in further details how survival trees grow for constructing the random forest. …

… We propose a survival forest based on random forest and … forest based on random forest.
Besides its superb prediction capability, the reasons why we want to extend random forest …

… an imputation procedure that recursively updates the censored observations to the current
… , we have the forest-level survival function . Now, given a subject i that is censored at time c, …

… to generalize the imputation approaches to other recursive partitioning methods. It is well …
methods based on conditional inference survival forests; extensions of the approaches that we …

… censoring times are independent given the covariates. We propose different ways to build
survival forests when dependent censoring … for right-censored data is the recursively imputed …