# Biostatistics Core

> **NIH NIH P01** · UNIVERSITY OF VIRGINIA · 2024 · $55,135

## Abstract

PROJECT SUMMARY
The Biostatistics Core will provide the timely and high-quality statistical support necessary for the success of
the Program Project. The Biostatistical support will center on three specific aims: 1) provide support for the
design, analysis and proper inference from the laboratory and patient sample studies conducted in the
Projects, 2) apply state-of-the-art statistical tools to gain additional insights into data created in the Projects
and 3) provide support for combining data from multiple sources. The general analysis principles include
methods to validate assumptions; improve precision by removing known sources of variation, such as
experiment to experiment variability; control for multiple hypothesis testing; and validate models. The data and
programming support will provide expertise in merging data from multiple sources and archiving data to allow
the results of data analyses to be preserved and reproduced. Biostatistics support is critical for the success of
the Program Project. The Biostatistics Core provides easy and guaranteed access for investigators and also
allows the biostatisticians to specialize in the Project areas regarding content knowledge and appropriate
statistical methodology. A dedicated Core provides timely and high-quality biostatistical services as its focus.

## Key facts

- **NIH application ID:** 10874686
- **Project number:** 5P01CA171983-10
- **Recipient organization:** UNIVERSITY OF VIRGINIA
- **Principal Investigator:** Bethany Jablonski Horton
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $55,135
- **Award type:** 5
- **Project period:** 2013-09-10 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10874686

## Citation

> US National Institutes of Health, RePORTER application 10874686, Biostatistics Core (5P01CA171983-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10874686. Licensed CC0.

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