| CELEHS

Translational Data Science Methodology

Strategies to make RCTs more feasible, efficient, pragmatic and reflective of real world settings

Strategies to detect signals, perform efficient estimation and derive prediction rules using high dimensional data

Methodologies to derive prediction rules for disease risk and treatment response at individualized level

Leveraging large scale noisy electronic health records and claims data to infer about causal treatment effects