Project Details
Consensus statements serve as a key method to synthesize expert opinions, particularly in areas with limited empirical evidence or when traditional research is deemed not feasible (ex: in high-risk indications). The intricacies involved in designing and analyzing consensus statement studies require distinct statistical considerations to ensure the validity and reliability of outcomes. Here, we provide a comprehensive analysis of the statistical considerations involved in developing a consensus statement. A focus was placed on the statistical thresholds for defining a ‘consensus,’ exploring the balance between agreement percentage and rounds conducted and determining the appropriate and acceptable power for consensus statement studies. The importance of feedback and the challenge of participant attrition across multiple rounds (as utilized in the Delphi method) were also considered. This study emphasizes the iterative nature of consensus statement building and the necessity for clear statistical considerations in both the design and interpretation phases to ensure the validity of the consensus statement.
Reference
Cook, J., Cohen, A., (27Feb2024), Poster Presentation (Cook, J.). Statistical Considerations in the Development of a Consensus Statement. 2024 Conference on Statistical Practice (CSP), New Orleans, LA.
Project Highlights
✅ Awarded “First Place Student Poster” at the 2024 Conference on Statistical Practice (CSP) in New Orleans, Lousiana by the American Statistical Association (ASA)
✅ Academic Group Project - Part of UWF M.S. Data Science (https://uwf.edu/programs/hmcse/data-science-ms/) & the UWF CSDA lab (https://csdalab.github.io/)
✅ Comprehensive Literature Review on Consensus Study Design & Statistical Measures Utilized
✅ Simulations on Study Parameters Completed in R
✅ Final Poster, Code, and Presentation Publicly Available
