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13 * Sun, 8/8/2021, 1:30 PM - 3:20 PM Virtual
Advances in Longitudinal Methods in Research on Aging and Dementia from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Invited Papers
Biometrics Section, Lifetime Data Science Section, ENAR
Organizer(s): Michelle Shardell, University of Maryland School of Medicine
Chair(s): Michelle Shardell, University of Maryland School of Medicine
1:35 PM Prediction of Dementia Types Using Machine Learning Methods
Chung-Chou H. Chang, University of Pittsburgh; Yueting Wang, University of Pittsburgh; Yichen Jia, University of Pittsburgh; Mary Ganguli, University of Pittsburgh
1:55 PM Causal Mediation Analysis of the Timing of Risk Factors for Incident Cognitive Impairment
Nicole Armstrong, Alpert Medical School of Brown University
2:15 PM Joint Modeling of the Temporal Relationships Between Multivariate Longitudinal Markers of Alzheimer’s Disease Progression and Clinical Endpoints
Anaïs Rouanet, Inserm U1219 - Bordeaux Population Health research center; Cécile Proust-Lima, University of Bordeaux
2:35 PM Estimating Heterogenous Effects of Education on Dementia Using Bayesian Trees
Jordan Weiss, University of California, Berkeley; Sameer Deshpande, Massachusetts Institute of Technology - CSAIL
2:55 PM Using Hidden Markov Models to Track Cognitive Decline
Terry Michael Therneau, Mayo Clinic
3:20 PM Discussant: Cécile Proust-Lima, University of Bordeaux
3:15 PM Floor Discussion