Keith Rust

Senior Vice President

Keith Rust, Ph.D., is a Senior Vice President and was appointed to the Westat Board of Directors in 2018. He is a senior statistician with extensive experience in sampling methods, the design and specification of large-scale sample surveys, and analysis of survey data. His areas of special expertise include methods for analyzing large, complex data sets; methods of deriving survey weights; and sampling error estimation procedures. He has applied his research and knowledge to a variety of education research projects over the past several years, both national and international. Dr. Rust has also directed work on Government sample surveys related to education, health, and social issues.

Dr. Rust is a Fellow of the American Statistical Association (ASA) and served as President of the Washington Statistical Society. He is an elected Member of the International Statistical Institute. He serves as Chair of the Programme for International Student Assessment Technical Advisory Group, Organisation for Economic Co-operation and Development. Dr. Rust was a member of the Committee for National Statistics (CNSTAT) at the National Academy of Sciences from 1992-98 and has served on CNSTAT panels. He is a research professor at the Joint Program in Survey Methodology at the University of Maryland.

In recognition of his contributions to the field, Dr. Rust has been named a Westat Senior Statistical Fellow and serves on the Statistical Fellows Committee, which provides consultation on important survey statistics issues and addresses recent advances in applied statistics.

Education

Ph.D., Biostatistics, University of Michigan
M.S., Biostatistics, University of Michigan
B.A. (with honors), Mathematical Statistics, Flinders University of South Australia

Areas of Expertise

Selected Publications

Riddles J., Burke J., Rivero G., and Rust K.F. (2017).

Adjustments to student weights to account for student nonresponse in the National Assessment of Educational Progress.

Chen S. and Rust K.F. (2017).

An extension of Kish's formula for design effects to two- and three-stage designs with stratification.

Menke A., Rust K.F., and Cowie C.C. (2017).

Diabetes based on 2-h plasma glucose among those classified as having prediabetes based on fasting plasma glucose or A1c.

Lietz P., Cresswell J.C., Rust K.F., and Adams R.J. (2017).

Implementation of large-scale education assessments.

Rust K.F., Krawchuk S., and Monseur C. (2017).

Sample design, weighting, and calculation of sampling variance.

Menke A., Rust K.F., Fradkin J., Cheng Y.J., and Cowie C.C. (2014).

Associations between trends in race/ethnicity, aging, and body mass index with diabetes prevalence in the United States: A series of cross-sectional studies.

Menke A., Rust K.F., Savage P.J., and Cowie C.C. (2014).

Hemoglobin A1c, fasting plasma glucose, and 2-hour plasma glucose distributions in U.S. population subgroups: NHANES 2005-2010.

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