In the Original Investigation titled “Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark,” published online October 23, 2019, there were errors in the Abstract, Statistical Analysis, and Results. In the Abstract, the following sentence should have been removed: “For example, stress disorders among unmarried men older than 30 years were important factors for suicide risk in the presence of depression (risk, 0.54).”