# Core 3: Biostatistics and Bioinformatics Core

> **NIH NIH P01** · UNIVERSITY OF WASHINGTON · 2022 · $320,285

## Abstract

Summary/Abstract: Biostatistics and Bioinformatics Core
Key to any successful biomedical research endeavor is a collaborative effort between clinical scientists, bench
scientists, and quantitative scientists, The identification of effective treatments for Merkel cell carcinoma will
necessitate a robust understanding of the relationships with and interactions between clinical outcomes and
the immune system, the MCPyV virus, genetics, and the effect proposed interventions have on the disease
entity being studied, With advancing technologies, augmentation of traditional biostatistical methods and
research with high-throughput data and associated techniques is a critical component in the achievement of
this understanding, Our scientific projects will require and utilize a variety of assays, including high-throughput
and multiparametric technologies, along with cutting-edge computational tools and modeling strategies that
can be used to analyze and integrate heterogeneous datasets and/or predict responses, Consequently, large-data
management and computational analysis will be an integral part of this research program, The efficient
design of clinical trials is also an important component in taking any intervention from bench to bedside, The
Biostatistics and Bioinformatics Core will serve as the quantitative piece of this collaboration by providing
experimental and clinical trial design as well as analysis and interpretation of data from all experiments and
clinical trials that are conducted in the program project grant The Core will be organized around the three aims
outlined below, Further details on the quantitative/statistical plan associated with each aim of each project can
be found below in the Research Plan and in the Research Methods in respective projects.

## Key facts

- **NIH application ID:** 10380823
- **Project number:** 5P01CA225517-04
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Ted A Gooley
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $320,285
- **Award type:** 5
- **Project period:** 2019-04-04 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10380823

## Citation

> US National Institutes of Health, RePORTER application 10380823, Core 3: Biostatistics and Bioinformatics Core (5P01CA225517-04). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10380823. Licensed CC0.

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