# Core C. Biostatistics Core

> **NIH NIH P01** · UNIVERSITY OF MINNESOTA · 2024 · $201,045

## Abstract

ABSTRACT
The Biostatistics Core is responsible for providing statistical support to all projects. The Core will lead or assist
in the development of all study databases and will lead their statistical analysis. The Core will perform a large
variety of modeling tasks ranging from survival analyses using either relative risk (Cox) models or excess
relative risk models. The Core will provide analysis of DNA methylation data including quality control, data
normalization, software selection, and outcome analysis, and perform epigenome-wide association studies of
quitting duration, and lung cancer risk. The Core will assist in the development of a CYP2A6 genetic score and
in the application of this score to the analysis of lung cancer case control data. The Core will also provide
analysis of ethnic and smoking differences, for targeted and untargeted adductomics data, Most statistical
analysis will be performed using existing R or SAS procedures. In some cases, new statistical methodology
may be developed if existing statistical procedures are inadequate for analysis.

## Key facts

- **NIH application ID:** 10923846
- **Project number:** 5P01CA138338-13
- **Recipient organization:** UNIVERSITY OF MINNESOTA
- **Principal Investigator:** Daniel O Stram
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $201,045
- **Award type:** 5
- **Project period:** 2009-12-01 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10923846

## Citation

> US National Institutes of Health, RePORTER application 10923846, Core C. Biostatistics Core (5P01CA138338-13). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10923846. Licensed CC0.

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