# Core-002-Biostatistical Core

> **NIH NIH P30** · YALE UNIVERSITY · 2023 · $208,230

## Abstract

The overarching goals of the Biostatistics Core (BC), RC-2, are to provide design and analytical services to
investigators conducting studies of multifactorial geriatric conditions; to develop and disseminate new design
and analytical techniques for conducting studies with older persons; and to train a cadre of clinical
investigators, biostatisticians, and epidemiologists in the skills necessary to design, conduct, and analyze
gerontologic studies. The BC provides state-of-the-art research design and biostatistical expertise for the Yale
OAIC with the following specific aims: 1) to collaborate with REC Scholars and other REC trainees, PES
investigators, Operations Core (OC) colleagues, and investigators of External Projects to achieve the mission
of the Yale OAIC in promoting the understanding and management of multifactorial geriatric conditions; 2) to
develop new and rigorous methods that address the challenges of designing and analyzing studies in basic,
translational, and clinical geriatric/aging research, with special emphasis on introducing rigorous statistical
methods; and 3) to train the next generation of gerontologic biostatisticians, epidemiologists, and early-stage
investigators in Gerontologic Biostatistical Methods specific to studies of multifactorial geriatric conditions.
To achieve these aims and ensure that OAIC investigators continue to stay at the forefront of methodologically
rigorous research, we have formalized a partnership with the Yale Center for Analytical Sciences (YCAS), a
center for collaborative science that serves as the Biostatistics and Epidemiologic core of the Yale Clinical and
Translational Sciences Award (CTSA). This partnership boosts the reach of the BC in two important ways.
First, it expands the resources available to our REC trainees and other OAIC investigators by providing access
to additional expertise and mentorship. Second, it brings a wealth of experience in newer approaches that
complement the techniques previously available to OAIC investigators. Productivity of the BC during the
current funding cycle has been high, as evidenced by nearly 200 peer-reviewed publications and collaboration
on 73 successfully funded extramural grants (>$123.4 million total costs) and on 13 pending grant applications
representing more than $13 million.
The proposed Biostatistics Core’s Development Project (DP-2) focuses on designing pragmatic clinical trials
with multivariate outcomes. The project is innovative because such trials, which are becoming increasingly
common, often do not take the correlation between outcomes into account in the design and/or analysis,
leading to less efficient designs and to estimates that fail to demonstrate the efficacy of treatments. This is
especially important for trials that include multiple primary outcomes assessing various aspects of a
multifactorial condition or intervention. The code from this and all novel methods developed by the BC will be
made publicly available, including ...

## Key facts

- **NIH application ID:** 10728897
- **Project number:** 2P30AG021342-21
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** Denise Esserman
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $208,230
- **Award type:** 2
- **Project period:** 2002-09-30 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10728897

## Citation

> US National Institutes of Health, RePORTER application 10728897, Core-002-Biostatistical Core (2P30AG021342-21). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10728897. Licensed CC0.

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