# Statistical Services and Analysis Resource

> **NIH NIH U2C** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2020 · $1,032,946

## Abstract

STATISTICAL SERVICES AND ANALYSIS RESOURCE SUMMARY
Research in environmental health demonstrates that consequence of environmental exposures during critical
periods in development can manifest as disease or dysfunction across the human life span. Indeed, humans
are exposed to environmental factors ranging from internal physiology (e.g., oxidative stress) to external
chemical (e.g., air pollution, consumer products) and lifestyle factors including exposures to environmental
contaminants, poor nutrition, and stress. These factors are multi-dimensional and complex – not simple, single
exposures related to a single health outcome. Statistical methods and study designs for analyzing the complex,
high-dimensional data that arise in such settings are still relatively new and require knowledge of advanced
statistical techniques. The Statistical Services and Analysis Resource (SSAR) consolidates multi-disciplinary
expertise (statistics, epidemiology, bioinformatics) in a single faculty made available for collaboration with the
broader environmental health research community through the Data Center. The aims of the SSAR are in three
primary categories: consultation and analysis support, HHEAR mission-related methods development and
implementation of novel methods, and support of collaborative research across the Environmental Health
Research consortium. Our specific aims are: 1) provide statistical, epidemiological, and bioinformatics
consultation and analysis support to investigators utilizing the HHEAR Laboratory Network resources; 2)
catalyze the application of novel statistical, analytical, and bioinformatics methodologies in relevant areas to
the HHEAR and the Data Center; 3) catalyze the implementation of these methods in Aim 2 through statistical
training for environmental health researchers by creating publicly available statistical software for analysis of
the HHEAR data and developing publicly available training/example datasets to be used for didactic learning
through webinars related to children's environmental health; and 4) support collaborative research across the
HHEAR consortium by conducting initial meta-analyses relating environmental exposures and selected
disease conditions within a consortium of relevant experts; and supporting other collaborative research
projects that may initiate through the HHEAR consortium of research investigators. The achievement of these
aims will advance the goals of the HHEAR Data Center and the larger HHEAR Network to maximize our
understanding of the potential impact of environmental exposures on human health by providing rigorous and
innovative biostatistical/bioinformatics methods for analyzing environmental health data.

## Key facts

- **NIH application ID:** 10006828
- **Project number:** 5U2CES026555-03
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Chris Gennings
- **Activity code:** U2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,032,946
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10006828

## Citation

> US National Institutes of Health, RePORTER application 10006828, Statistical Services and Analysis Resource (5U2CES026555-03). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10006828. Licensed CC0.

---

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