Regression models for the mean of the quality-of-life-adjusted restricted survival time using pseudo-observations

Adin Cristian Andrei*, Susan Murray

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

In this research we develop generalized linear regression models for the mean of a quality-of-life-adjusted restricted survival time. Parameter and standard error estimates could be obtained from generalized estimating equations applied to pseudo-observations. Simulation studies with moderate sample sizes are conducted and an example from the International Breast Cancer Study Group Ludwig Trial V is used to illustrate the newly developed methodology.

Original languageEnglish (US)
Pages (from-to)398-404
Number of pages7
JournalBiometrics
Volume63
Issue number2
DOIs
StatePublished - Jun 2007

Keywords

  • Gap time
  • Inverse weighting
  • Nonparametric
  • Quality-of-life
  • Successive events

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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