Design and Statistics Core
Core Activities
The Design and Statistics Core focuses on biostatistical methods for the design, conduct, and analysis of health system-embedded pragmatic clinical trials (ePCTs) among people living with dementia (PLWD) and care partners.
Core members develop and disseminate novel biostatistical approaches for the design and conduct of ePCTs; provide guidance to investigators on design, power and sample size, analytic methods and reproducibility. They train the next generation of biostatisticians and collaborate with other Cores on the development of methods and tools supporting ePCT design.
Key Resources
News & Publications
- IMPACT Community Member Awarded ASPPH Early Career Research Excellence Award
- IMPACT Collaboratory Members Use Machine Learning to Reveal Hidden Treatment Effects in Gerontology Trials
- Li and Tong employ Bayesian model to correct for differential exclusion and ensure valid inferences in pragmatic clinical trials
- Pajewski among researchers employing a machine-learning model using electronic health data to predict cognitive impairment and dementia following an episode of critical illness
- IMPACT authors provide insights into methodology for small-scale stepped wedge cluster randomized trials
- IMPACT member Allore among authors of paper on longitudinal patterns of blood pressure and dementia risk
- IMPACT authors examine emotion regulation in people living with dementia and their care partners
