# Research Core 3:  Analysis Core (RC3)

> **NIH NIH P30** · DUKE UNIVERSITY · 2020 · $196,400

## Abstract

PROJECT SUMMARY/ABSTRACT – Analysis Core (AC)
The Analysis Core supports the Duke OAIC effort to understand and optimize reserve and resilience by
providing data management and analytic support (Aim 1), developing innovative biostatistical analytic
methodologies (Aim 2), and providing methodological instruction (Aim 3). The Analysis Core contains all the
expertise needed to provide analytic support to junior and senior faculty across the range of study designs and
analytic issues, including biostatisticians with expertise in study design, longitudinal analysis, psychometrics
and estimation of latent variables; bioinformaticists with experience in genetic and high dimensional data
analysis; and statisticians for day-to-day monitoring of studies and data management. Data management will
use secure web-based methods (REDCap), and methods for managing high dimensional metabolomic,
proteomic, and genetic data. Duke OAIC supported studies are constructed and managed so that standardized
analytic methods and common measures across studies can be employed. In addition to provision of technical
analytic and data management support, the Analysis Core will provide consultation and training support to the
faculty of the Duke OAIC (Aim 3). The Core will also pursue methodologic goals of interest to biostatisticians
which address analytic issues encountered and advance statistical science. In particular, the study of resilience
and reserve will require estimation of multi-parameter models and latent classes. A Developmental Project is
proposed to develop estimation models and assess statistical performance (false detection rate, stability,
power, bias, and validity) of these new classes of models. Working closely with the Molecular Measures and
Physical Measures Cores, we will focus on methods for examining trajectories of change in the biological and
clinical variables, develop aggregation techniques for this high dimensional data, establish temporal ordering,
assess mediation and moderation pathways, and assess the statistical properties and constancy of the
relationships across studies.

## Key facts

- **NIH application ID:** 9971418
- **Project number:** 5P30AG028716-15
- **Recipient organization:** DUKE UNIVERSITY
- **Principal Investigator:** CARL F PIEPER
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $196,400
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9971418

## Citation

> US National Institutes of Health, RePORTER application 9971418, Research Core 3:  Analysis Core (RC3) (5P30AG028716-15). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9971418. Licensed CC0.

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