Explore projects in Diagnosis!
These projects aim to improve the accuracy, timeliness, and equity of identifying mental, behavioral, and physical health conditions. These studies focus on refining diagnostic criteria, developing more sensitive and specific assessment tools, and integrating multiple sources of data—including clinical interviews, behavioral measures, neuroimaging, and biomarkers. Researchers explore innovations such as machine learning, dimensional approaches to diagnosis, and culturally responsive assessment practices that reduce bias and enhance validity. Many projects also address early identification and differential diagnosis in complex or overlapping conditions, particularly in diverse or underserved populations. This research strengthens the scientific foundation of clinical decision-making and supports more personalized, effective care.
“Diagnost” by ClipArtKey is licensed under CC BY-SA 4.0 via Wikimedia Commons
- General Cognitive Diagnosis Models: Development, Estimation, and ApplicationsProject Abstract/Summary This research project will advance the frontiers of modern statistical theory and methodology in cognitive diagnosis modeling. Cognitive diagnosis models (CDMs) are psychometric tools designed to infer respondents’ unobserved psychological attributes from their manifest responses to a set of items in a test or questionnaire. CDMs have been used in educational assessments and successfully applied in psychology and the social sciences. However, existing CDMs have limited utility because they often assume binary attributes. This project will further extend… Read more: General Cognitive Diagnosis Models: Development, Estimation, and Applications