Intent-to-treat analysis in the presence of off-treatment or missing data.

Oliver N Keene
Author Information
  1. Oliver N Keene: GlaxoSmithKline Research and Development, Stockley Park, Middlesex, UK. oliver.n.keene@gsk.com

Abstract

Intent-to-treat (ITT) analysis is viewed as the analysis of a clinical trial that provides the least bias, but difficult issues can arise. Common analysis methods such as mixed-effects and proportional hazards models are usually labeled as ITT analysis, but in practice they can often be inconsistent with a strict interpretation of the ITT principle. In trials where effective medications are available to patients withdrawing from treatment, ITT analysis can mask important therapeutic effects of the intervention studied in the trial. Analysis of on-treatment data may be subject to bias, but can address efficacy objectives when combined with careful review of the pattern of withdrawals across treatments particularly for those patients withdrawing due to lack of efficacy and adverse events.

MeSH Term

Bias
Clinical Protocols
Drug-Related Side Effects and Adverse Reactions
Humans
Randomized Controlled Trials as Topic
Research Design
Statistics as Topic
Survival Rate
Treatment Outcome
Withholding Treatment

Word Cloud

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