Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria

Abdissa Negassa, Antonio Ciampi, Michal Abrahamowicz, Stanley Shapiro, Jean François Boivin

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

The performance of computationally inexpensive model selection criteria in the context of tree-structured subgroup analysis is investigated. It is shown through simulation that no single model selection criterion exhibits a uniformly superior performance over a wide range of scenarios. Therefore, a two-stage approach for model selection is proposed and shown to perform satisfactorily. Applied example of subgroup analysis is presented. Problems associated with tree-structured subgroup analysis are discussed and practical solutions are suggested.

Original languageEnglish (US)
Pages (from-to)231-239
Number of pages9
JournalStatistics and Computing
Volume15
Issue number3
DOIs
StatePublished - Jul 2005

Fingerprint

Censored Survival Data
Model Selection Criteria
Subgroup
Model Selection
Scenarios
Range of data
Model selection criteria
Simulation

Keywords

  • Censored survival data
  • Model selection
  • Regression tree
  • Subgroup analysis
  • Two-stage approach

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Statistics and Probability

Cite this

Tree-structured subgroup analysis for censored survival data : Validation of computationally inexpensive model selection criteria. / Negassa, Abdissa; Ciampi, Antonio; Abrahamowicz, Michal; Shapiro, Stanley; Boivin, Jean François.

In: Statistics and Computing, Vol. 15, No. 3, 07.2005, p. 231-239.

Research output: Contribution to journalArticle

Negassa, Abdissa ; Ciampi, Antonio ; Abrahamowicz, Michal ; Shapiro, Stanley ; Boivin, Jean François. / Tree-structured subgroup analysis for censored survival data : Validation of computationally inexpensive model selection criteria. In: Statistics and Computing. 2005 ; Vol. 15, No. 3. pp. 231-239.
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