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.