# Statistical Services and Analysis Resource

> **NIH NIH U2C** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2022 · $763,962

## 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:** 10424418
- **Project number:** 5U2CES026555-05
- **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:** 2022
- **Award amount:** $763,962
- **Award type:** 5
- **Project period:** 2015-09-30 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10424418

## Citation

> US National Institutes of Health, RePORTER application 10424418, Statistical Services and Analysis Resource (5U2CES026555-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10424418. Licensed CC0.

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