A classical single hypothesis test proceeds by specifying \(\alpha \) , the probability of a significant result, given the null hypothesis \(\left (H=0\right )\) is true. This is also known as the probability of a false discovery and more commonly of a type I error.

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Digression on Multiple Testing: False Discovery Rates

  • Daniel Sorensen

摘要

A classical single hypothesis test proceeds by specifying \(\alpha \) , the probability of a significant result, given the null hypothesis \(\left (H=0\right )\) is true. This is also known as the probability of a false discovery and more commonly of a type I error.