# Shared Resource: Biostatistics

> **NIH NIH P30** · FRED HUTCHINSON CANCER RESEARCH CENTER · 2020 · $347,697

## Abstract

PROJECT SUMMARY: BIOSTATISTICS SHARED RESOURCE (BSR)
The Biostatistics Shared Resource (BSR) provides collaborative statistical support to Consortium members
across each of the Research Programs. We emphasize the importance of establishing ongoing and continuing
collaboration with biostatisticians as a means of maximizing scientific collaborations that lead to impactful
cancer research. The BSR aids members with projects that do not have dedicated funding for biostatistical
support. In addition, the BSR assists members across all Programs in the development of grant proposals. It is
expected that such proposals will have biostatistical support built into the budget, in which case – if a grant is
awarded – a funded collaboration with a biostatistician would subsequently take place outside the auspices of
the BSR. In this sense, the BSR frequently spawns NIH-funded research. The BSR is composed of six faculty-
level statisticians and three masters-level statisticians, and the CCSG currently funds roughly 1.1 FTE. The
level of support for each biostatistician of the BSR ranges from 5-20%, as each biostatistician is primarily
funded by research grants and contracts independent of their BSR activities. The CCSG-supported effort
ensures that a stable staff of highly skilled biostatisticians is available to Consortium investigators. The
members of the BSR have many years of experience working collaboratively with clinical, population, and
laboratory scientists and possess a wide range of expertise in statistical methods that are relevant to the
Consortium, including clinical trial design (Phase I through Phase III), survival analysis (including competing
risks), longitudinal data, diagnostics testing, biomarkers, prediction models, microbiome, genomic, proteomic,
metabolomic, high-dimensional data analysis, multi-omic and data-integration methods, analysis of nonlinear
time series including modeling and inference with ordinary differential equations, cancer survivorship, inverse-
probability weighting, statistical genetics, biological pathway analysis, mixed model and kernel methods,
quantile regression, and causal inference.

## Key facts

- **NIH application ID:** 9853656
- **Project number:** 2P30CA015704-45
- **Recipient organization:** FRED HUTCHINSON CANCER RESEARCH CENTER
- **Principal Investigator:** Ted A Gooley
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $347,697
- **Award type:** 2
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9853656

## Citation

> US National Institutes of Health, RePORTER application 9853656, Shared Resource: Biostatistics (2P30CA015704-45). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9853656. Licensed CC0.

---

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