Explained error is the probability of making at least one type I error across a set of comparisons.

Question

Quizplus · Accepted Answer

Explained error actually refers to the variance in a statistical model that can be explained by the model's inputs, not the probability of making type I errors across comparisons. The concept described is more accurately related to the familywise error rate or the false discovery rate, not "explained error."

Explained Error Is the Probability of Making at Least One