A survival tree for interval-censored failure time data

A survival tree for interval-censored failure time data

Interval-censored failure time data as a general type of survival data often arises in medicine and other applied fields. Survival tree is a flexible predictive method for survival data because no specific assumptions are required. Generalized Log-Rank Test have good power with parameters for int...

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Bibliographic Details
Main Authors: Jia Chen, Renato De Leone
Format: Article
Language:English
Published: AIMS Press 2022-08-01
Series:AIMS Mathematics
Subjects:
survival tree
interval-censored
conditional inference framework
hyper-parameter tuning
generalized log-rank tests
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2022996?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2022996?viewType=HTML

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