New Study Uses CBDB to Examine Blood Pressure and Dementia Progression
June 2, 2026
A recently published paper in Statistics in Medicine by Dr. Dan Malinsky and Ph.D. student Anja Shahu develops new statistical methods for estimating how longitudinal interventions may affect rates of change in health outcomes.
The study, “Estimating Effects of Longitudinal Modified Treatment Policies (LMTPs) on Rates of Change in Health Outcomes,” applies the method to the Columbia Brain Health DataBank (CBDB) to examine how changes in systolic blood pressure may influence dementia progression over time.
By focusing on disease trajectories rather than a single endpoint, the work offers a rigorous framework for studying modifiable risk factors in Alzheimer’s disease and dementia research.
Read the paper here.
