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Statistics and Computing

, Volume 15, Issue 3, pp 231–239 | Cite as

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

  • Abdissa NegassaEmail author
  • Antonio Ciampi
  • Michal Abrahamowicz
  • Stanley Shapiro
  • Jean-François Boivin
Article

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.

Keywords

censored survival data regression tree model selection two-stage approach subgroup analysis 

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Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Abdissa Negassa
    • 1
    Email author
  • Antonio Ciampi
    • 2
  • Michal Abrahamowicz
    • 2
    • 3
  • Stanley Shapiro
    • 3
  • Jean-François Boivin
    • 3
    • 4
  1. 1.Department of Epidemiology and Population HealthAlbert Einstein College of Medicine of Yeshiva UniversityBronxUSA
  2. 2.Department of Epidemiology and BiostatisticsMcGill UniversityMontrealCanada
  3. 3.Clinical EpidemiologyMontreal General HospitalMontrealCanada
  4. 4.Center for Clinical Epidemiology and Community studiesThe Sir Mortimer B. Davis Jewish General HospitalMontrealCanada

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