July 22, 2025
View Full PaperMultiplicity Control in Clinical Trials
Key Points
- MAIN FINDING: Multiplicity control is crucial to prevent false discovery in clinical trials.
- KEY EVIDENCE: Statistical testing of multiple hypotheses can increase type I error risks significantly.
- APPROACH: The review discusses classical methods and graphical testing to control errors in research.
- SIGNIFICANCE: Effective error control enhances the reliability of clinical trial results, benefiting public health.
Abstract
AbstractStatistical testing of more than one hypothesis has the potential to increase the risk of wrongly concluding that the result for a given end point is statistically significant (false discovery). This review is designed to acquaint nonstatisticians with traditional approaches for controlling type I error and with the seemingly complex procedure known as graphical testing.