Tree-structured prognostic classification for censored survival data: validation of computationally inexpensive model selection criteria

DOI10.1080/00949650008812047zbMath0961.62086OpenAlexW2045350590WikidataQ114642273 ScholiaQ114642273MaRDI QIDQ2703002

Michał Abrahamowicz, Abdissa Negassa, Stanley Shapiro, Jean Boivin, Antonio Ciampi

Publication date: 3 May 2001

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650008812047

zbMATH Keywords

regression treescensored survival datatwo-stage approachRECPAMprognostic classification

Mathematics Subject Classification ID

Censored data models (62N01)

Related Items (1)

A review of survival trees

Cites Work

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• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
• Regression Trees for Censored Data
• Recursive partition and amalgamation with the exponential family: Theory and applications
• Survival Trees by Goodness of Split
• A new look at the statistical model identification

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