Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Mary Gregg (Fed)

Mathematical Statistician

Mary Gregg received a M.S. and a Ph.D. in Biostatistics from the University of Louisville, where her dissertation work focused on reweighting methods that correct for informative cluster size and informative intra-cluster group sizes in the analysis of clustered observations. Mary joined NIST in the fall of 2020 as a National Research Council postdoctoral associate, and as a permanent employee in 2022.  Her work at NIST includes interdisciplinary research relating to forensics, wireless communication, and statistical machine learning applications.

Awards

  • 2024 ITL Outstanding Collaboration, NIST
    For initiating and leading a productive collaboration across multiple NIST disciplines to advance the metrology of terrestrial laser scanners.
  • 2020-2022 Postdoctoral Associateship, National Academy of Science/National Research Council

SELECTED EXTERNAL PUBLICATIONS

Gregg, M, Datta, S., Lorenz, D. (2022). htestClust: A Package  for Marginal Inference of Clustered Data Under Informative Cluster Size. The R Journal. 14(2), 54-66. DOI:10.32614/RJ-2022-024.

Gregg, M., Datta, S., Lorenz, D. (2020). Variance Estimation in Tests of Clustered Categorical Data with Informative Cluster Size. Statistical Methods in Medical Research. 29(11), 3396-3408. DOI: 10.1177/0962280220928572.

Gregg, M., Datta, S., Lorenz, D. (2018). A Log Rank Test for Clustered Data with Informative Within-Cluster Group Size. Statistics in Medicine. 37(27), 4071-4082. DOI: 10.1002/sim.7899.

Publications

Telecommunication Testbed Repeatability Assessment

Author(s)
Jeanne Quimby, Jake Rezac, Mary Gregg, Michael Frey, Jason Coder, Anna Otterstetter
Telecommunication testbeds are a fundamental tool in communication research, enabling prototyping and validating new ideas. Unfortunately, these testbeds are
Created August 3, 2020, Updated August 6, 2024