# Statistics, Informatics & Qualitative Methods (SIQM) Core

> **NIH NIH P20** · DARTMOUTH-HITCHCOCK CLINIC · 2024 · $371,482

## Abstract

PROJECT SUMMARY/ABSTRACT
Research Core: The Statistics, Informatics, and Qualitative Methods Core
The Statistics, Informatics, and Qualitative Methods (SIQM) Core will promote and support rural health care
delivery science. Following an integrated mixed-methods research framework and partnering with the
Community Engagement and Outreach (CEO) Core, we seek to optimize the rigor, context, and advancement
of research across the Center for Rural Health Care Delivery Science. The SIQM Core’s overarching goal is to
improve the rigor of the research on important rural health care topics by integrating quantitative and qualitative
data analyses into a two-way system where one feeds into the other. The specific areas of focus include
supporting the attainment and development of unique datasets, innovative statistical modeling, the construction
of accurate statistical inferences, the expansion of informatics and analytics, and the acuity and impact of data
visualization.
 The Core will support the Center’s researchers by developing a robust research data warehouse that
responds to their research goals and dually aids in their development as researchers and ultimate graduation
to independent funding. The Core will work with datasets that incorporate health insurance claims, disease
registry, US Census, electronic health records, geospatial and other sources and forms of data. To
complement this, de novo data will be obtained from community stakeholders using surveys, interviews,
Community-Engagement Studios, and other forms of mixed-methods research. The data repository will grow
with time in breadth and depth to support community needs and priorities and support researchers by
expanding the scope of data, to which they will have access as they further their work and prepare their own
independent proposals. In addition to integrating and managing data, the SIQM Core will support projects by
developing and refining cutting-edge statistical methods, including hierarchical, longitudinal, and geospatial
modeling; causal inference methods to account for confounding in observational data (difference-in-difference
designs, propensity score methods); and social network analysis. The Core will create an environment across
the Center for identifying, sharing, and applying innovative statistical, geoinformatics, data science, and
qualitative methods to assist each Research Project Leader. Once established, the SIQM Core will coordinate
data and methods, share novel methodological solutions, and generalize these methods for future use.

## Key facts

- **NIH application ID:** 10816379
- **Project number:** 5P20GM148278-02
- **Recipient organization:** DARTMOUTH-HITCHCOCK CLINIC
- **Principal Investigator:** Alistair James O'MALLEY
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $371,482
- **Award type:** 5
- **Project period:** 2023-04-01 → 2028-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10816379

## Citation

> US National Institutes of Health, RePORTER application 10816379, Statistics, Informatics & Qualitative Methods (SIQM) Core (5P20GM148278-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10816379. Licensed CC0.

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