Analysing changes in the presence of informative right censoring caused by death and withdrawal

Margaret C. Wu, Kent Bailey

Research output: Contribution to journalArticle

125 Scopus citations

Abstract

Several approaches for estimating and comparing the rates of change of a continuous variable in two treatment groups in the presence of informative right censoring are reviewed and compared. The comparisons are made under different models for the censoring probabilities and various types of treatment effects. Some recommendations are discussed regarding the application of these approaches to the different settings.

Original languageEnglish (US)
Pages (from-to)337-346
Number of pages10
JournalStatistics in Medicine
Volume7
Issue number1-2
DOIs
StatePublished - Jan 1 1988

Keywords

  • Conditional linear model
  • Cox right censoring probability
  • Informative right censoring
  • Linear random effects model
  • Probit right censoring probability

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Fingerprint Dive into the research topics of 'Analysing changes in the presence of informative right censoring caused by death and withdrawal'. Together they form a unique fingerprint.

  • Cite this