Year: 2022 Source: Calgary, AB: University of Calgary. 2020. 140 p. SIEC No: 20220987
Quantifying suicide risk with risk scales is common in clinical practice, but the performance of risk scales has been shown to be limited. Prediction models have been developed to quantify suicide risk and have been  shown to outperform risk scales, but these models have not been commonly adopted in clinical practice. The original research presented in this thesis as three manuscripts evaluates the performance of prediction  models that quantify suicide risk developed with administrative health care system data.