Definition:

Type II error or beta (β) error refers to an erroneous acceptance of false null hypothesis (H0).

A type II error occurs when an effect that is present (‘false negative’) fails to be detected. Similarly to type I errors, type II errors may cause problems with interpreting clinical studies.