RESEARCH | OpenScholar

Causal inference from secondary observational data

Using high-dimensional data sources created for different purposes (e.g., electronic health records, registries) to generate valid research.

Clinical prediction models

Using state of the art methodology to develop and validate prediction models for health outcomes.

Algorithmic fairness

Exploring the repercussions, positive and negative, of applying quantitative models in healthcare settings.