Abstract
Randomized controlled trials often suffer from two major complications, i.e., noncompliance and missing outcomes. One potential solution to this problem is a statistical concept called intention-to-treat (ITT) analysis. ITT analysis includes every subject who is randomized according to randomized treatment assignment. It ignores noncompliance, protocol deviations, withdrawal, and anything that happens after randomization. ITT analysis maintains prognostic balance generated from the original random treatment allocation. In ITT analysis, estimate of treatment effect is generally conservative. A better application of the ITT approach is possible if complete outcome data are available for all randomized subjects.…
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1Topics & keywords
Topics
Keywords
- Randomized controlled trial
- Randomization
- Intention-to-treat analysis
- Protocol (science)
- Population
- Medicine
- Outcome (game theory)
- Surgery
UN Sustainable Development Goals
- Good health and well-being
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