# Quantitative Analysis Core

> **NIH NIH P30** · UNIVERSITY OF CHICAGO · 2020 · $83,576

## Abstract

PROJECT SUMMARY – Quantitative Analysis Core
Quantitative analysis methods are essential for almost all forms of diabetes translational research. Along with
traditional biostatistics, it has become essential to include methods from the social sciences (e.g., economics,
sociology, decision sciences) in order to evaluate observational data and quasi-experimental studies, to assess
outcomes such as health care costs and health care utilization, and to fully understand the long-term
population level impact of novel interventions and policies. At the Chicago Center for Diabetes Translation
Research (CDTR), our close proximity and active collaboration with investigators based in social science
departments as well as research institutes and laboratories of the University of Chicago helps to ensure that
we have a solid theoretical foundation for our research methods and also provides a close link to
methodological innovations. The Quantitative Analysis Core has a strong history of accomplishments that
have helped to advance quantitative methods in diabetes translation research particularly in the areas of cost-
effectiveness analysis, decision analysis, quality of life assessment, and personalized medicine.
The methodological expertise of the Quantitative Analysis Core provides support to numerous new and
established investigators affiliated with the CCDTR and also provides support to external diabetes investigators
across the U.S. Many of our ongoing studies are the byproduct of cross-fertilization of investigators from
different disciplines that leads to innovative studies of diabetes prevention and care. For the renewal of the
CCDTR, the Quantitative Analysis Core will continue to provide cutting-edge analytic support for a wide range
of projects in diabetes translation research ranging from program evaluation to cost-effectiveness analysis to
policy analysis. This support is available in terms of technical expertise and material resources for analysis
such as data storage and computational processing capacity, software, and simulation models. Ongoing
methodological areas of support include Biostatistical Analysis, Economic Analysis (Diabetes Simulation
Modeling and Business Case Analysis). New methodological areas of support will include Health Care Claims
Analysis, Social Network Analysis, and Agent-Based Modeling.
The aims of the quantitative analysis core are: 1) To provide cutting edge quantitative analysis support for a
wide range of diabetes translation research focused on improving the care and outcomes of vulnerable
populations in resource-constrained settings; 2) To advance methods in quantitative analysis of diabetes
translation research by leveraging advances in methods emerging from the social sciences; 3) To strengthen
and forge new partnerships, connections, and collaborations with leading methodologists and investigators of
the CCDTR. The innovations and support of the quantitative analysis core will help the CCDTR expand its role
as o...

## Key facts

- **NIH application ID:** 9995003
- **Project number:** 5P30DK092949-10
- **Recipient organization:** UNIVERSITY OF CHICAGO
- **Principal Investigator:** ELBERT S. HUANG
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $83,576
- **Award type:** 5
- **Project period:** 2011-09-01 → 2021-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9995003

## Citation

> US National Institutes of Health, RePORTER application 9995003, Quantitative Analysis Core (5P30DK092949-10). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/9995003. Licensed CC0.

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