Incorporating sex differences in trial design for Alzheimer's disease - towards precision medicine

Keywords: Alzheimer, Clinical trial, statistical modeling, causal inference, group based trajectory modeling, Bayesian power
Project partner: Women's Brain Project
CeDA collaborator: Sébastien Boyer

• Characterizing the effects of incorporating sex differences on clinical trial design and outcome, as well as tracking the main vectors of those differences.

• Statistical approach on meta data from homemade systematic review.
• Analyzing publicly available data sets.
• Analyzing clinical data from collaborations with the pharmaceutical industries.

• Generalized Linear Model to analyze meta data from homemade systematic review.
• Discrete and continuous causal inference on systematic review data to decorrelate sex specific clinical trial enrollment signal from confounding factors.
• Group based trajectory modeling to cluster patients with similar disease evolution.
• Clinical trial design simulation using Bayesian power on complex phenotype population.