# Statistical and Data Management Core

> **NIH NIH P20** · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · 2020 · $406,532

## Abstract

The Research Center for Child Well-Being focuses on prevention and intervention research aimed at reducing
risk for mental, emotional, and behavioral problems and unhealthy lifestyle behaviors in children ages 2-10.
Preventive intervention outcome trials constitute a major portion of the Center’s research activities. A critical
component of the Center is the Statistical and Data Management Core facility (SDM Core), which supports the
Center’s research efforts and especially the early-stage investigators. Preventive intervention outcome studies,
which are generally field-based rather than delivered in a laboratory or hospital setting, make substantial
demands on the resources and capacities directly available to individual investigators. For the Center’s early-
stage investigators in particular, the provision of data management and statistical analytic services by the SDM
Core is essential in making prevention studies feasible, so that the investigators can focus all of their project
resources exclusively on recruitment, intervention implementation, and data collection. The SDM Core is
structured and staffed to address the many issues arising in preventive intervention outcome studies, such as
power concerns, multi-level designs, moderation and mediation analyses, missing data issues, complier
average causal effect to address differences in intervention adherence. The Center investigators, as well as
other prevention researchers at the institution, benefit substantially from the experienced statistical and other
technical personnel comprising the SDM Core. The specific aims for the SDM Core are: (1) To establish the
facilities and assemble the technical and scientific personnel necessary for high-quality statistical and data-
management services pertinent to the early-stage investigators’ conduct of preventive intervention clinical trials
and related studies; (2) To support research projects led by the Center’s early-stage investigators, which
involves provision of: (a) consultation for design and analytic planning, (b) data management services, (c)
statistical programming and analysis, and (d) assistance in interpretation of analyses; (3) To provide workshop
training and updates on prevention-related developments in methodology and statistics to enable Center early-
career and senior scientists, as well as other prevention scientists on campus, to better understand new or
complex methods; (4) To advance ways to optimize methods and applications in statistical analyses and
programming, in the context of the Center’s prevention research. SDM Core support helps to enable the
Center’s mission by: (a) contributing to the scientific environment conducive to early-stage investigators
moving to independent research status; (b) utilizing, and keeping investigators abreast of, methodological
advances pertinent to preventive intervention trials; and, (c) strengthening the institution’s capacity to meet the
data-management and statistical requirements of hig...

## Key facts

- **NIH application ID:** 9852057
- **Project number:** 1P20GM130420-01A1
- **Recipient organization:** UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
- **Principal Investigator:** Marco Geraci
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $406,532
- **Award type:** 1
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9852057

## Citation

> US National Institutes of Health, RePORTER application 9852057, Statistical and Data Management Core (1P20GM130420-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9852057. Licensed CC0.

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