Statistical Sciences

Survey Statistics, Survey Methodology & Statistical Analysis

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 artificial intelligence (AI), machine learning (ML), natural language processing (NLP), data analytics, data integration, survey statistics, and survey methods. Our goal is to deliver the highest quality research and approaches.

12

ASA Fellows

80+

Staff

160

Recent Publications

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Publications

Fay R.E. (2021).

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

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.

Opsomer J., Chen A., Chang W.-Y., and Foley D. (2021).

U.S. employment higher in the private sector than in the education sector for U.S.-trained doctoral scientists and engineers: Findings from the 2019 Survey of Doctorate Recipients.

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Westat Employees.
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AAA Foundation for Traffic Safety
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DC Public Schools
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Maryland Cancer Registry
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University of Maryland Baltimore Campus
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