# Statistics Core for SWOG SDMC

> **NIH NIH U10** · FRED HUTCHINSON CANCER CENTER · 2024 · $2,771,034

## Abstract

Project Summary/Abstract
Statistics Core 
The primary goals of the Statistics Core of the SWOG SDMC are to lead the design, development, and monitoring 
of rigorous clinical trials and translational medicine studies by using stringent, well-tested processes. Some 
specific aims of the Statistics Core faculty and staff are to (a) develop and rapidly implement scientifically sound 
and efficient clinical trials and collaborate on abstracts and manuscripts to ensure timely dissemination of results; 
(b) actively monitor ongoing trials using standardized processes and software; (c) conduct and collaborate on 
statistical methods research, including clinical trial design and the analysis of translational medicine studies; and 
(d) lead secondary analyses and cross-study research using the SWOG database.
The SWOG SDMC Statistics Core approach is to use designs that lead to convincing conclusions, whether for 
Phase II, Phase III, or translational medicine objectives that guide new cancer treatment and science. As 
immunotherapy and targeted agents present challenges with respect to statistical evaluation, the Statistics Core 
faculty develop and evaluate the statistical properties of innovative and efficient designs to advance these new 
therapies.

## Key facts

- **NIH application ID:** 10814845
- **Project number:** 5U10CA180819-11
- **Recipient organization:** FRED HUTCHINSON CANCER CENTER
- **Principal Investigator:** Michael L. LeBlanc
- **Activity code:** U10 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $2,771,034
- **Award type:** 5
- **Project period:** 2014-04-17 → 2026-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10814845

## Citation

> US National Institutes of Health, RePORTER application 10814845, Statistics Core for SWOG SDMC (5U10CA180819-11). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10814845. Licensed CC0.

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