Ignorability and bias in clincial trials

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Patient non-compliance and drop-out can bias analyses of clinical trial data. I describe a parametric model for treatment cross-over and drop-out and demonstrate how the concept of ignorability, originally defined for incomplete-data problems, can elucidate sources of bias in clinical trials. I discuss some implications of the theory and present simulation examples that illustrate the potential effects of non-ignorable cross-over and drop-out on bias and power.

Original languageEnglish (US)
Pages (from-to)2421-2434
Number of pages14
JournalStatistics in Medicine
Volume18
Issue number17-18
DOIs
StatePublished - Sep 30 1999

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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