Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Your Environment. Your Health.

Biostatistics & Computational Biology Branch

Alison Motsinger-Reif
Alison A. Motsinger-Reif, Ph.D.
Chief, Biostatistics & Computational Biology Branch and Principal Investigator
Tel 984-287-3705
alison.motsinger-reif@nih.gov
Curriculum Vitae Alison Motsinger-Reif Curriculum Vitae (788KB)
Google Scholar Profile Alison Motsinger-Reif
111 Tw Alexander Dr
David P Rall Building
Research Triangle Park, NC 27709
Shyamal Peddada, Ph.D.
Shyamal D. Peddada, Ph.D.
Deputy Chief, Biostatistics & Computational Biology Branch and Senior Investigator
Tel 984-287-4586
shyamal.peddada@nih.gov
111 Tw Alexander Dr
David P Rall Building
Research Triangle Park, NC 27709
bb-home.jpg

Research Summary

The Biostatistics and Computational Biology Branch carries out basic and applied research dealing with statistical issues of relevance to environmental health. The branch's members develop new methodologies and apply existing techniques in novel ways to address environmental health problems. Members of the branch also advise institute scientists on computational, study design, database and statistical issues via both long-term and short-term collaboration in research projects throughout NIEHS. The branch also offers training at regular intervals.

Research in the Biostatistics and Computational Biology Branch focuses on several areas:

  • Design and analysis of laboratory animal toxicology/carcinogenicity experiments and development of improved statistical methods
  • Application and development of methodology for epidemiological and clinical human studies
  • Application and development of new bioinformatics techniques for harvesting information from high-dimensional genomic, gene expression and proteomic data
  • Development of new design and analysis approaches in statistical genetics
  • Development of broadly applicable statistical approaches

Biostatistics & Computational Biology Branch Software

See Software to access the data or computer instructions developed by members of the NIEHS Biostatistics & Computational Biology Branch.

Recent Publications

    Back
    to Top