Bland's rule, also known as Bland's algorithm, is a principle in the context of statistics and healthcare that provides a guideline for determining when to switch from one treatment method to another based on their comparative effectiveness. Specifically, Bland's rule states that if the expected benefit of one treatment is greater than the expected benefit of another treatment, then it may be justified to switch to the more effective treatment, particularly when the differences in their effectiveness are statistically significant.
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