Type II errors can have serious implications in epidemiological research and public health. If a study fails to detect a true association, it may lead to the false conclusion that a particular exposure is not harmful when it actually is. This can result in missed opportunities for prevention, health policy missteps, and continued exposure to harmful factors.
