Recursively Imputed Survival Trees.

TitleRecursively Imputed Survival Trees.
Publication TypeJournal Article
Year of Publication2012
AuthorsZhu, Ruoqing, and Michael R. Kosorok
JournalJ Am Stat Assoc
Date Published2012

We propose recursively imputed survival tree (RIST) regression for right-censored data. This new nonparametric regression procedure uses a novel recursive imputation approach combined with extremely randomized trees that allows significantly better use of censored data than previous tree based methods, yielding improved model fit and reduced prediction error. The proposed method can also be viewed as a type of Monte Carlo EM algorithm which generates extra diversity in the tree-based fitting process. Simulation studies and data analyses demonstrate the superior performance of RIST compared to previous methods.

Alternate JournalJ Am Stat Assoc
Original PublicationRecursively imputed survival trees.
PubMed ID23125470
PubMed Central IDPMC3486435
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
P01 CA142538-02 / CA / NCI NIH HHS / United States
P01 CA142538-03 / CA / NCI NIH HHS / United States