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Use of Resampling Procedures to Investigate Issues of Model Building and Its Stability

In: Principles and Practice of Clinical Trials

Author

Listed:
  • Willi Sauerbrei

    (Faculty of Medicine and Medical Center - University of Freiburg, Institute of Medical Biometry and Statistics)

  • Anne-Laure Boulesteix

    (LMU Munich, Institute for Medical Information Processing, Biometry, and Epidemiology)

Abstract

This chapter deals with issues in model building and the use of resampling procedures to assess model stability. Concentrating on the nonparametric bootstrap and taking material from five papers published between 1992 and 2015, procedures for variable selection, selection of the functional form for continuous variables, and treatment-covariate interactions are discussed. The methods are illustrated by using publicly available data from three randomized trials. General issues related to the selection of regression models as well as bootstrap procedures used as a pragmatic approach to gain further knowledge from clinical data are briefly outlined.

Suggested Citation

  • Willi Sauerbrei & Anne-Laure Boulesteix, 2022. "Use of Resampling Procedures to Investigate Issues of Model Building and Its Stability," Springer Books, in: Steven Piantadosi & Curtis L. Meinert (ed.), Principles and Practice of Clinical Trials, chapter 96, pages 1895-1918, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-52636-2_130
    DOI: 10.1007/978-3-319-52636-2_130
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