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Statistical Sciences

Survey Statistics & Methodology, Statistical Analysis & Data Science

Westat leads the field in innovative and robust statistical and methodological research to meet the challenging needs of our clients. We create and implement solutions by harnessing the power of data science, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), data analytics, and data integration, along with survey statistics, and survey methods. Our goal is to deliver the highest quality research and approaches.

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How can text data be quickly and accurately processed?

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Statistical Sciences Leadership

Jeri Mulrow
Jeri Mulrow
Vice President, Statistics & Data Science Director

Meet our Experts

12

ASA Fellows

80+

Staff

160

Recent Publications

News

Statistical Sciences

How Nonresponse and Noncoverage Affect Survey Estimates

Data Collection & Survey Research

CAPI vs. ACASI: Does Mode Affect Underreporting?

Statistical Sciences

Has the Quality of Data Appended to ABS Frames Improved?

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Publications

Erciulescu A.L., Opsomer J.D., and Breidt F.J. (2021).

A bridging model to reconcile statistics based on data from multiple surveys.

Annals of Applied Statistics, 15(2), 1068-1079.
Source | DOI
Fay R.E. (2021).

Constructing and disseminating small area estimates from the National Crime Victimization Survey, 2007–2018.

Washington, DC: Office of Justice Programs, Bureau of Justice Statistics, U.S. Department of Justice.
Source (PDF)
Meilan-Vila A., Opsomer J.D., Francisco-Fernandez M., and Crujeiras R.M. (2020).

A goodness-of-fit test for regression models with spatially correlated errors.

Test, 29, 728-749.
DOI

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