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Research Design, Data & Analytics

The Research Design, Data & Analytics (RDDA) Core provides cutting-edge analytic support for a wide range of diabetes translation studies, including natural experiments, clinical trials, pragmatic trials, implementation research (including hybrid effectiveness-implementation studies) and predictive modeling. Browse RDDA Core resources below.

Analytic Tools

The core offers these material resources as well as related technical expertise:

  • Data storage and computational processing capacity
  • Software
  • Simulation models

Specialized Data

We facilitate access to and support investigator analysis of specialized data sources, such as:

  • National health insurance claims datasets.
  • Electronic health records from multiple partnering health system networks.

Analysis Support

Core experts can assist with quantitative analysis, including:

  • Biostatistical analysis.
  • Economic analysis (diabetes simulation, business case, healthcare claims).
  • Geographic Information System Analysis.
  • Social network analysis.
  • Agent-based modeling.
  • Biomedical informatics.

Collaboration Services

We broker and support collaborations with leading methodologists and investigators to bring new insights to the evaluation of diabetes interventions, programs and policies.

Contact Us

RDDA Core Co-Director

Dr. Huang

Elbert Huang, MD
Professor of Medicine and Public Health Sciences, University of Chicago Pritzker School of Medicine

RDDA Core Co-Director

Dr. Kho

Abel Kho, MD 
Director, Center for Health Information Partnerships; Director, Institute for Augmented Intelligence in Medicine; Professor of Medicine and Preventive Medicine, Northwestern University Feinberg School of Medicine

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