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Intention-to-treat analysis (revision 3)

Old revision·05:54, 5 Sep 2024·OpenLabelOtto

This is an old revision of this page, as it stood at 05:54, 5 Sep 2024, saved by OpenLabelOtto with the summary state that the trial has reported but is not yet peer-reviewed. It may differ substantially from the current revision, and any error it contains may since have been corrected.
Intention-to-treat analysis
AbbreviationITT
PrincipleAnalyse as randomised, not as treated
PreservesThe balance randomisation created
Contrast withPer-protocol analysis
Topic infobox · conventions

Intention-to-treat analysis includes every randomised participant in the group to which they were assigned, regardless of whether they received the assigned treatment, adhered to it, or completed the trial. Its purpose is to preserve the comparability that randomisation created.[1]

The alternative — analysing only those who completed as assigned — breaks that comparability, because completion is not random. Participants who stop because a treatment is not working, or because it is poorly tolerated, differ systematically from those who continue.[2]

Why analysing as treated fails

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Randomisation makes the groups comparable on everything, measured and unmeasured. Any post-randomisation selection — dropping non-completers, excluding non-adherers, analysing by treatment actually received — reintroduces confounding by the very factors that led to the selection.[2]

The classic demonstration is that adherence itself predicts outcome even in a placebo arm: participants who take placebo reliably do better than those who do not, because adherence is a marker for other health-related behaviour. An analysis conditioning on adherence therefore finds an effect where none exists.[2]

The practical consequence is that a striking difference between an intention-to-treat and a per-protocol result is informative about differential dropout rather than about the treatment.[1]

References

  1. ^ a b International Council for Harmonisation, E9(R1): Estimands and Sensitivity Analysis in Clinical Trials (2019).
  2. ^ a b c Hollis S, Campbell F. "What is meant by intention to treat analysis? Survey of published randomised controlled trials." BMJ 319(7211):670–674 (1999). PMID 10480822.