Jean Opsomer

Vice President; Statistical Fellows Committee Co-Chair

Jean Opsomer, PhD, is a senior statistician with 25+ years of experience applying statistical methods to answer research questions. He is currently responsible for the statistical methodology of several large-scale Westat survey projects. He has served on 6 panels of the National Academies of Sciences, Engineering, and Medicine and is a current member of the Statistics Canada Advisory Committee on Statistical Methods. He is the Chair of the Survey Research Methods Section of the American Statistical Association and Associate Editor for Survey Methodology. He is also Adjunct Professor in the Department of Mathematics at the University of Maryland, College Park. 

Previously, Opsomer was a faculty member in the Departments of Statistics at Colorado State University and Iowa State University. The author or coauthor of 80 peer-reviewed articles, he has developed statistical methods for flexible model building, variable selection, and evaluation, with an emphasis on semiparametric and hierarchical modeling and statistical data integration. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and an Elected Member of the International Statistical Institute. He is the recipient of the Carver Medal of the Institute of Mathematical Statistics and the Cox Award of the Washington Statistical Society.

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


  • PhD, Operations Research , Cornell University
  • MBA, Finance, University of Chicago
  • MS, Management Engineering, Katholieke Universiteit Leuven, Belgium

Areas of Expertise

Selected Publications

Jones J.M., Opsomer J.D., Stone M., Benoit T., Ferg R.A., Stramer S.L., and Busch M.P. (2022).

Updated US Infection- and vaccine-induced SARS-CoV-2 seroprevalence estimates based on blood donations, July 2020–December 2021.

Erciulescu A.L. and Opsomer J.D. (2022).

A model-based approach to predict employee compensation components.

Miller M.J., Himschoot A., Fitch N., Jawalkar S., Freeman D., Hilton C., Berney K., Guy G.P., Benoit T.J., Clarke K.E.N., Busch M.P., Opsomer J.D., Stramer S.L., Hall A.J., Gundlapalli A.V., MacNeil A., McCord R., Sunshine G., Howard-Williams M., Dunphy C., and Jones J.M. (2022).

Association of trends in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) seroprevalence and state-issued nonpharmaceutical interventions: United States, 1 August 2020 to 30 March 2021.

Busch M.P., Stramer S.L., Stone M., Yu E.A., Grebe E., Notari E., Saa P., Ferg R., Molina Manrique I., Weil N., Fink R.V., Levy M.E., Green V., Cyrus S., Williamson P.C., Haynes J., Groves J., Krysztof D., Custer B., Kleinman S., Biggerstaff B.J., Opsomer J.D., and Jones J.M. (2022).

Population-weighted seroprevalence from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, vaccination, and hybrid immunity among US blood donations from January to December 2021.

Fink R.V., Fisher L., Sulaeman H., Dave H., Levy M.E., McCann L., Di Germanio C., Notari E.P., Green V., Cyrus S., Williamson P., Saa P., Haynes J.M., Groves J., Mathew S., Kaidarova Z., Bruhn R., Grebe E., Opsomer J., Jones J.M., Miller M.J., Busch M.P., and Stone M. (2022).

How do we...form and coordinate a national serosurvey of SARS-CoV-2 within the blood collection industry?.

Lennert-Cody C.E., McCracken M., Siu S., Oliveros-Ramos R., Maunder M.N., Aires-da-Silva A., Carvajal-Rodríguez J.M., Opsomer J.D., and de Barros P. (2022).

Single-cluster systematic sampling designs for shark catch size composition in a Central American longline fishery.

Erciulescu A.L., Opsomer J.D., and Schneider B.J. (2022).

Statistical data integration using multilevel models to predict employee compensation.

Stone M., Di Germanio C., Wright D.J., Sulaeman H., Dave H., Fink R.V., Notari E.P., Green V., Strauss D., Kessler D., Destree M., Saa P., Williamson P.C., Simmons G., Stramer S.L., Opsomer J., Jones J.M., Kleinman S., and Busch M.P. (2022).

Use of US blood donors for national serosurveillance of Severe Acute Respiratory Syndrome Coronavirus 2 antibodies: Basis for an expanded national donor serosurveillance program.

Li Z., Lewis B., Berney K., Hallisey E., Williams A.M., Whiteman A., Rivera-González L.O., Clarke K.E.N., Clayton H., Tincher T., Opsomer J.D., Busch M.P., Gundlapalli A., and Jones J. (2022).

Social vulnerability and rurality associated with higher Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection-induced seroprevalence: A nationwide blood donor study, United States, July 2020 – June 2021.

Jones J.M., Stone M., Sulaeman H., Fink R.V., Dave H., Levy M.E., Di Germanio C., Green V., Notari E., Saa P., Biggerstaff B.J., Strauss D., Kessler D., Vassallo R., Reik R., Rossmann S., Destree M., Nguyen K.-A., Sayers M., Lough C., Bougie D.W., Ritter M., Latoni G., Weales B., Sime S., Gorlin J., Brown N.E., Gould C.V., Berney K., Benoit T.J., Miller M.J., Freeman D., Kartik D., Fry A.M., Azziz-Baumgartner E., Hall A.J., MacNeil A., Gundlapalli A.V., Basavaraju S.V., Gerber S.I., Patton M.E., Custer B., Williamson P., Simmons G., Thornburg N.J., Kleinman S., Stramer S.L., Opsomer J.D., and Busch M.P. (2021).

Estimated US infection- and vaccine-induced SARS-CoV-2 seroprevalence based on blood donations, July 2020-May 2021.

Xu X., Meyer M.C., and Opsomer J.D. (2021).

Improved variance estimation for inequality-constrained domain mean estimators using survey data.

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

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

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.

Piesse A., Opsomer J., Dohrmann S., DiGaetano R., Morganstein D., Taylor K., Carusi C., and Hyland A. (2021).

Longitudinal uses of the Population Assessment of Tobacco and Health Study.

Oliva-Aviles C., Meyer M.C., and Opsomer J.D. (2020).

Estimation and inference of domain means subject to qualitative constraints.

Harrison S.P., Schoen R., Atcitty D., Fiegener R., Goodhue R., Havens K., House C.C., Johnson R.C., Leger E., Lesser V., Opsomer J.D., Shaw N., Soltis D.E., Swinton S.M., Toth E., and Young S.A. (2020).

Preparing for the need for a supply of native seed.

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.

Olson K., Smyth J.D., Horwitz R., Keeter S., Lesser V., Marken S., Mathiowetz N.A., McCarthy J.S., O'Brien E., Opsomer J.D., Steiger D., Sterrett D., Su J., Suzer-Gurtekin Z.T., Turakhia C., and Wagner J. (2021).

Transitions from telephone surveys to self-administered and mixed-mode surveys: AAPOR task force report.

Dohrmann S., Jones M., Kalton G., and Opsomer J. (2019).

A review of the Address Coverage Enhancement Scheme for in-person household surveys.

Erciulescu A.L. and Opsomer J.D. (2019).

A model-based approach to predict employee compensation components.

Oliva-Aviles C., Meyer M.C., and Opsomer J.D. (2019).

Checking validity of monotone domain mean estimators.

Ma H., Ogawa T.K., Sminkey T.R., Breidt F.J., Lesser V.M., Opsomer J.D., Foster J.R., and Van Voorhees D.A. (2018).

Pilot surveys to improve monitoring of marine recreational fisheries in Hawaii.

Breidt F.J., Opsomer J.D., and Huang C.M. (2018).

Model-assisted survey estimation with imperfectly matched auxiliary data.

Yu H., Wang Y., Opsomer J.D., Wang P., and Ponce N. (2018).

A design-based approach to small area estimation using semiparametric generalized linear mixed models.

De Brabanter K., Cao F., Gijbels I., and Opsomer J.D. (2018).

Local polynomial regression with correlated errors in random design and unknown correlation structure.

Breidt F.J. and Opsomer J.D. (2017).

Model-assisted survey estimation with modern prediction techniques.

Hernandez-Stumpfhauser D., Breidt F.J., and Opsomer J.D. (2016).

Variational approximations for selecting hierarchical models of circular data in a small area estimation application.

Wu J., Meyer M.C., and Opsomer J.D. (2016).

Survey estimation of domain means that respect natural orderings.

Opsomer J.D., Breidt F.J., White M., and Li Y. (2016).

Successive difference replication variance estimation in two-phase sampling.

Ma H., Ogawa T.K., Breidt F.J., Lesser V.M., Opsomer J.D., Sminkey T.R., Hawkins C., Bagwill A., and Van Voorhees D.A. (2016).

Pilot surveys of shore fishing on Oahu, Hawaii.

Breidt F.J., Opsomer J.D., and Sanchez-Borrego I. (2016).

Nonparametric variance estimation under fine stratification: An alternative to collapsed strata.

Ranalli M.G., Breidt F.J., and Opsomer J.D. (2016).

Nonparametric regression methods for small area estimation.

Hernandez-Stumpfhauser D., Breidt F.J., and Opsomer J.D. (2016).

Hierarchical Bayesian small area estimation for circular data.

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