This review highlights traditional methods for controlling type I error in clinical trials, suggesting graphical testing for better decision-making.
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.
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Lalonde et al. (2025) studied this question.
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