# Biostatistics and Research Information Systems Core

> **NIH NIH P30** · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2024 · $224,623

## Abstract

Under the leadership of Drs. Leng and Pajewski, the WF OAIC Biostatistics and Research Information
Systems Core (BIC) will build on its long-term success in biostatistical collaboration and expand
statistics/informatics tools tailored to research in aging. The proposed Core is comprised of a team of highly
qualified investigators and staff with the full range of expertise relevant to the WF OAIC mission, including design
and management of observational studies and randomized trials, centralized data entry and processing,
centralized and decentralized data management, statistical analysis of data from complex study designs and data
sources and development of novel statistical methods. The BIC has added additional expertise in machine
learning and analysis considerations for pragmatic studies leveraging the electronic health record.
The BIC members are committed to the WF OAIC’s programmatic aims to: 1) discover new pathways
contributing to age-related declines in physical function and disability risk; 2) develop, evaluate, and refine
strategies for disability prevention and treatment; 3) translate proven strategies beyond the traditional research
environments; and 4) train the next generation of research leaders focused on disability treatment and
prevention. In close collaboration with all other OAIC cores, we propose four Specific Aims:
 1. To participate as investigators for WF OAIC projects including: 4 Pilot Studies, 2 Developmental
 Projects, and 8 Externally-funded Projects related to WF OAIC aims and themes. As co-investigators,
 BIC members are actively involved in study design and conduct. Their roles include recruitment
 monitoring, randomization, and safety monitoring; sample size determination; data management;
 statistical analysis and interpretation; and presentation/publication of results.
 2. To play an integral role in training OAIC-supported scholars in the design, planning, conduct, and
 analysis and interpretation of aging-related research projects.
The BIC will also extend its strong record of innovative discovery and evaluation through Specific Aims 3
and 4, which are to:
 3. Develop novel statistical applications & methods development for analytical issues associated with
 aging research.
 4. Develop unique research information systems to facilitate biomarker initiatives for aging studies.
 To accommodate the growing scope and constant evolution of aging-relevant biomarkers, during Years
 1-2, we will build a novel, flexible, structured approach to storage and sharing of biomarker data within our
 time-tested, state-of-the-art data management system.

## Key facts

- **NIH application ID:** 10909353
- **Project number:** 5P30AG021332-22
- **Recipient organization:** WAKE FOREST UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Xiaoyan Leng
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $224,623
- **Award type:** 5
- **Project period:** 2002-09-30 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10909353

## Citation

> US National Institutes of Health, RePORTER application 10909353, Biostatistics and Research Information Systems Core (5P30AG021332-22). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10909353. Licensed CC0.

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