Center for Suicide Research and Prevention - Methods Core

The Methods Core (MC) will facilitate efficient and robust transdisciplinary research for the proposed Center for Suicide Prevention and Research (CSRP) through apposite application and evaluation of leading-edge statistical approaches for integrative predictive analysis of complex real-world and clinical trial data. The overriding goal of the MC is to support application and evaluation of sound statistical principles and approaches to enhance and enable novel implementation strategies for improved suicide prevention efforts. The MC team includes a distinguished team of biostatisticians and informaticians with expertise in clinical trials, statistical and machine learning methods for high-dimensional real-world data, and a clinical informatics team with expertise in development and implementation of Applications to be incorporated at the bedside. The team members have an extensive history of collaboration with investigators constituting the proposed CSRP and are extremely well-positioned to deliver (i) data collection, data synthesis and app development; (ii) support the development and conduct of CSRP research studies; (iii) develop and validate novel clinical prediction algorithms; and (iv) dissemination to the research community.