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Two keys on assessing alpha and beta errors

Two keys on assessing alpha and beta errors

In this video, Prof. Mary Ferrill provides us some keys.

First, for superiority studies, when P is greater than 0.05, it does not mean that it is equivalent.

Besides, secondary outcomes that are not significant can not tell us anything because we can not rule out beta error.

Ultimately, print the blank table and fill it out if you did not do it on your own before.

After completing it, you can go to the next part.

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Evidence-Based Medicine in Clinical Pharmacy Practice

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