Keywords: Alzheimer| Clinical trial | statistical modeling | causal inference | group based trajectory modeling | Bayesian power
Project coordinator: Women’s Brain Project
CeDA collaborator: Sébastien Boyer


Project objectives

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

Approaches

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

Analytical methods

  • 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.