Estimation of Heterogeneous Restricted Mean Survival Time Using Random Forest
Estimation and prediction of heterogeneous restricted mean survival time (hRMST) is of great clinical importance, which can provide an easily interpretable and clinically meaningful summary of the survival function in the presence of censoring and individual covariates. The existing methods for the...
Main Authors: | Mingyang Liu, Hongzhe Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-01-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2020.587378/full |
Similar Items
-
Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators
by: Szilárd Nemes
Published: (2023-10-01) -
Parameter estimation methods for random point fields with local interactions
by: P. Ya. Grabarnik
Published: (2016-04-01) -
Focused Information Criterion for Restricted Mean Survival Times: Non-Parametric or Parametric Estimators
by: Szilárd Nemes, et al.
Published: (2022-05-01) -
Review and Synthesis of Estimation Strategies to Meet Small Area Needs in Forest Inventory
by: Garret T. Dettmann, et al.
Published: (2022-03-01) -
A comparison of the conditional inference survival forest model to random survival forests based on a simulation study as well as on two applications with time-to-event data
by: Justine B. Nasejje, et al.
Published: (2017-07-01)