# Analytic Core (Core D)

> **NIH NIH P01** · MASSACHUSETTS GENERAL HOSPITAL · 2022 · $299,607

## Abstract

SUMMARY: CORE D- ANALYTIC CORE. The rigorous integration, analysis and interpretation of a wide array
of data from the Cores and Projects is central to the Harvard Aging Brain Study (HABS). The Data Core
provides the database and statistical support for these functions. The Core has developed and optimized: (i)
the DataCentral database for data entry, quality assurance, storage, backup, security, and query systems, as
well as linkage to raw and processed image files, (ii) data distribution for biostatistical analyses to support the
project aims, and (iii) blinding to prevent inadvertent bias. The Core also supports, designs, and implements
analyses that contribute to the definition and quantification of critical disease pathologies, brain networks,
biomarkers, and their interactions, and participates in the selection of subsets of the sample for additional
procedures or specific analyses, as needed. We also develop summary measures of brain pathologies and
network disruption that can be used in a wide variety of analyses within and across projects, address methods
needed for time-to-event and longitudinal analyses across multiple nonlinear processes within the aging brain,
and develop models to address questions of causal inference. The Specific Aims of the Data Core are: 1. Data
Integrity and Integration, which includes data entry, quality control, and storage; data access and distribution;
and data sharing; 2. Statistical Support, Oversight, and Analysis, which involves statistical support for the
Projects and Cores including simulation-guided study design and data analysis, and use of modern
epidemiologic methods in causal inference to inform model construction, mediation analyses, and adjustment
for selection bias and confounding, and 3. Development of Innovative Statistical Models and Methods, which
includes joint modeling of PiB, FTP, functional connectivity and cognitive measures; treatment of misaligned
biomarker measurements; modeling of censored time-to-event data that adjusts for delayed entry; derivation of
efficient prevention trial populations and endpoints; and development of new methods for adjusting for
selection bias in the setting of change-in-change analyses. Overall, the overarching responsibilities of the Data
Core are to: manage the large and complex array of data that continues to be collected in the project, including
neuroimaging data, clinical data, genetic, and biofluid data; integrate all data elements into a single database;
and oversee and facilitate the statistical analyses for each Project--and across projects--using optimal analytic
methods. Analytic Core support will ensure that the Program Project achieves unbiased and robust results that
improve understanding of the course of Alzheimer’s disease and its translation into future efficient clinical
trials.

## Key facts

- **NIH application ID:** 10144906
- **Project number:** 5P01AG036694-12
- **Recipient organization:** MASSACHUSETTS GENERAL HOSPITAL
- **Principal Investigator:** Deborah L. BLACKER
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $299,607
- **Award type:** 5
- **Project period:** 2010-07-15 → 2025-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10144906

## Citation

> US National Institutes of Health, RePORTER application 10144906, Analytic Core (Core D) (5P01AG036694-12). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10144906. Licensed CC0.

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