New highlights added 2024-08-07
we are typically not terribly concernedwithType 1 error because we rarely believe that it is possible for the null hypothesis to be strictly true. Second, we believe that the problem is not multiple testing but rather insufficient modeling of the relationship between the corresponding parameters of the model (View Highlight)
This overall risk of error (formally, the probability that we have any rejections when the null hypothesis in fact holds) is sometimes referred to as the familywise error rate (Tukey, 1953). (View Highlight)