On estimating treatment effects under non-compliance in randomized clinical trials: Are intent-to-treat or instrumental variables analyses perfect solutions?

Heejung Bang, Clarence E. Davis

Research output: Contribution to journalArticle

30 Scopus citations

Abstract

In this report, we compared four estimators (intent-to-treat, as treated, per protocol, and instrumental variables estimators) that are conventionally considered for treatment effect estimation by simulation under different non-compliance scenarios in typical clinical trial settings. We found that intent-to-treat and instrumental variables estimators are not perfect and can be problematic in some situations although these two estimators carry desirable properties as we assume.

Original languageEnglish (US)
Pages (from-to)954-964
Number of pages11
JournalStatistics in Medicine
Volume26
Issue number5
DOIs
StatePublished - Feb 28 2007
Externally publishedYes

Keywords

  • As treated
  • Clinical trial
  • Instrumental variables
  • Intent-to-treat
  • Non-compliance
  • Per protocol
  • Treatment effect

ASJC Scopus subject areas

  • Epidemiology

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