Study features that improve effect sizes in longitudinal brain-wide association studies.
Invited talk, Organization for Human Brain Mapping (OHBM) Annual Meeting, Seoul, Korea
Talks
Study Features Impacting Replicability of Brain-wide Association Studies
Contributed talk, Joint Statistical Meetings (JSM), Toronto, Canada
Double-anchoring events based sigmoidal mixed-effects model for Alzheimer’s disease progression.
Student paper competition, 36th New England Statistics Symposium (NESS), Boston, MA
- 2023 NESS Student Paper Award.
Study features contributing to replicable brain-wide association studies.
Invited talk, Statistical Methods in Imaging (SMI) Conference, Minneapolis, MN
Double-anchoring events based sigmoidal mixed-effects model: an application in Alzheimer’s disease progression.
Blitz talk, The 4th Annual Vanderbilt Alzheimer’s Disease Research Day, Nashville, TN
- This work was selected as the Best Blitz Talk.
A unifying framework for the analysis of effect sizes in cross-sectional and longitudinal studies
Contributed talk, ENAR Spring Meeting, Nashville, TN
A unifying framework for the analysis of effect sizes in cross-sectional and longitudinal studies.
Invited talk, Computational and Methodological Statistics (CMStatistics) Conference, London, UK
Accurate Confidence Interval Estimation for Non-centrality Parameters and Effect Sizes
Contributed talk, ENAR Spring Meeting, Houston, TX