Title | Recursively Imputed Survival Trees. |
Publication Type | Journal Article |
Year of Publication | 2012 |
Authors | Zhu, Ruoqing, and Michael R. Kosorok |
Journal | J Am Stat Assoc |
Volume | 107 |
Issue | 497 |
Pagination | 331-340 |
Date Published | 2012 |
ISSN | 0162-1459 |
Abstract | 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. |
DOI | 10.1080/01621459.2011.637468 |
Alternate Journal | J Am Stat Assoc |
Original Publication | Recursively imputed survival trees. |
PubMed ID | 23125470 |
PubMed Central ID | PMC3486435 |
Grant List | P01 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 |
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