# Biostatistics/Computational Core

> **NIH NIH P50** · DANA-FARBER CANCER INST · 2024 · $168,184

## Abstract

PROJECT SUMMARY – BIOSTATISTICS AND COMPUTATIONAL CORE (CORE B)
The Biostatistics and Computational Core (Core B) of the Dana-Farber/Harvard Cancer Center (DF/HCC)
Prostate SPORE interacts with all research activities within the SPORE, including the SPORE Projects,
Developmental Research Program, and Career Enhancement Program to ensure the highest standards of
scientific rigor in areas of study design, data management and integrity, and data analysis and interpretation.
The overarching goal is to promote translational research derived from fundamental discoveries in the
laboratory that can lead to tangible clinical benefit. The specific aims of Core B are to: (1) provide
biostatistical and computational biology expertise for the planning and design, conduct, analysis, and
reporting of laboratory, genomic, animal, translational, clinical (including associated correlative studies), and
epidemiological studies for SPORE Projects, Developmental Research, and Career Enhancement Award
projects, and other SPORE Cores; (2) provide consultation on all issues of data management, integrity and
integration, including data collection, storage, transfer, sharing and quality assurance, on statistical and
computational software and programs, and on coordination of laboratory results with parameters and
outcomes from clinical studies or clinical/translational research databases; and (3) provide short-term
biostatistics and computational biology consulting to the entire group of SPORE researchers. Organizing
biostatistical and computational biology expertise as a shared resource core is a cost-effective approach to
ensure that collaboration is readily available to SPORE investigators and is an effective strategy to
guarantee a high degree of integration among projects, which have interrelated analytic goals and needs.
Core B has a wealth of experienced biostatisticians and computational biologists equipped with excellent
computational resources, including major commercial and public-use statistical software and a large library
of locally written software for design and analysis.

## Key facts

- **NIH application ID:** 10916206
- **Project number:** 5P50CA272390-02
- **Recipient organization:** DANA-FARBER CANCER INST
- **Principal Investigator:** Svitlana Tyekucheva
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $168,184
- **Award type:** 5
- **Project period:** 2023-09-01 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10916206

## Citation

> US National Institutes of Health, RePORTER application 10916206, Biostatistics/Computational Core (5P50CA272390-02). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10916206. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*