Type III error in epidemiology occurs when researchers correctly reject a null hypothesis but do so for the wrong reason. Essentially, they arrive at the right decision but through an incorrect pathway or explanation. This type of error is less commonly discussed than Type I and Type II errors but is critically important in the interpretation and application of epidemiological findings.
