Publications

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.

(NSF 21-319). Alexandria, VA: National Science Foundation.

Source

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)

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

Estimation and inference of domain means subject to qualitative constraints.

Survey Methodology, 46(2), 145-180.

Source

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.

Ecological Restoration, 38(4), 203-206.

DOI

Ren W., Li J., Erciulescu A., Krenzke T., and Mohadjer L. (2020).

A variable selection method for small area estimation modeling of the proficiency of adult competency.

JSM Proceedings, Survey Research Methods Section (pp. 924-956). Alexandria, VA: American Statistical Association.

Source (PDF)

Raithel M.A. (2020).

A program to compare two SAS® Format Catalogs.

Proceedings of SAS Global Forum 2020 (pp. 9). Cary, NC: SAS Institute.

Source (PDF)

Cecere W., Lin T., Jones M., Kali J., and Flores Cervantes I. (2020).

A comparison of classification and regression tree methodologies when modeling survey nonresponse.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 577-585). Virtual: Joint Statistical Meeting.

Source

Tourangeau R., Sun H., and Yan T (2020).

Comparing methods for assessing reliability.

Journal of Survey Statistics and Methodology.

DOI

Price S., Chansky M., Meissner H. I., Engstrom M. C., Dunderdale T., Mayne R. G., Bahde A. L., Frechtling J. A., and Mandal R. (2020).

Methods Development and Modeling Research: Contributions to Advancing TRS and Informing Regulations.

Tobacco Regulatory Science, 6(6), 436-439.

Source

Zhu J., Fanning M., Sheehan L., Morrissey K.G., Legum S., and Hermansen S. (2020).

Methodology for linking Ryan White HIV/AIDS Program Services Report (RSR) client level data over multiple years.

PLOS One, 15(8).

Source | DOI

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

Erciulescu A.L., Cruze N. B., and Nandram B. (2020).

Statistical challenges in combining survey and auxiliary data to produce official statistics.

Journal of Official Statistics., 36(1), 63-88.

Source | DOI

Krenzke T. and Mohadjer L. (2020).

Application of probability-based link-tracing and nonprobability approaches to sampling out-of-school youth in developing countries.

Journal of Survey Statistics and Methodology.

DOI

Sun H., Conrad F.G., and Kreuter F. (2020).

The relationship between interviewer-respondent rapport and data quality.

Journal of Survey Statistics and Methodology.

DOI

Sun H., Newsome J., McNulty J., Levin K., Langetieg P., Schafer B., and Guyton J. (2020).

What works, what doesn't? Three studies designed to improve survey response.

Field Methods.

DOI

Han D. and Valliant R. (2020).

Effects of outcome and response models on single-step calibration estimators.

Journal of Survey Statistics and Methodology.

DOI

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. (2020).

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

Journal of Survey Statistics and Methodology.

DOI

Noar S.M., Cappella J.N., and Price S. (2019).

Communication regulatory science: Mapping a new field.

Health Communication, 34(3), 273-279.

DOI | PubMed

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

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

Proceedings of the 2019 Survey Research Methods Section of the American Statistical Association. (pp. 1454-1463).

Source (PDF)

Lohr S., Riddles M., and Brick J.M. (2019).

Goodness-of-fit tests for distributions estimated from complex survey data.

Canadian Journal of Statistics, 47(3), 409-425.

Source

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

A model-based approach to predict employee compensation components.

Joint Statistical Meetings Proceedings. Government Statistics Section. (pp. 1601-1623). Alexandria, VA: American Statistical Association.

Source (PDF)

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

Checking validity of monotone domain mean estimators.

Canadian Journal of Statistics, 47, 315-331.

DOI

Tourangeau R., Yan T., Sun H., Hyland A., and Stanton C.A. (2019).

Population Assessment of Tobacco and Health (PATH) reliability and validity study: Selected reliability and validity estimates.

Tobacco Control, 28(6), 663-668.

DOI

Ratner J. (2019).

Discretionary wars, cost-benefit analysis, and the Rashomon effect: Searching for an analytical engine for avoiding war.

Statistics and Public Policy, 6(1), 107-121.

DOI

Tourangeau R., Maitland A., Steiger D., and Yan T. (2019).

A framework for making decisions about question evaluation methods.

In P.C. Beatty, D. Collins, L. Kaye, J.-L. Padilla, G.B. Willis, and A. Wilmot (Eds.), Advances in questionnaire design, development, evaluation, and testing (pp. 47-73). Hoboken, NJ: John Wiley & Sons.

Source

Fishbein H., Bauer D., Yu Q., Mermelstein R., Jones D., Miller A., Harrell M., Loukas A., Sterling K., Colip B., and Mittl B. (2019).

Harmonizing cigar survey data across TCORS, CTP, and PATH studies: The Cigar Collaborative Research (CCR) Group.

Nicotine and Tobacco Research.

DOI | PubMed

Shlomo N., Krenzke T., and Li J. (2019).

Comparison of three post-tabular confidentiality approaches for survey weighted frequency tables.

Transactions on Data Privacy, 12(3), 145-168.

Source

Raithel M. (2019).

Vetting differences between relational database definitions and actual data with SAS.

SAS Conference Proceedings: SouthEast SAS Users Group. Miami, FL: SESUG.

Source (PDF)

Mitchell R., Brown R., Fulton J., Alexander M., and Black S. (2019).

Do-it-yourself CDISC! A case study of Westat's successful implementation of CDISC standards on a fixed budget.

PharmaSUG 2019 Conference Proceedings. Chapel Hill, NC: PharmaSUG.

Source

Choi S., Lee J.S., Bassim C.W., Kushner H., Carr A.G., Gardner P.J., Harney L.A., Schultz K.A.P., and Stewart D.R. (2019).

Dental abnormalities in individuals with pathogenic germline variation in DICER1.

American Journal of Medical Genetics. Part A, 179(9), 1820-1825.

DOI | PubMed

Huryn L.A., Turriff A., Harney L.A., Carr A.G., Chevez-Barrios P., Gombos D.S., Ram R., Hufnagel R.B., Hill D.A., Zein W.M., Schultz K.A.P., Bishop R., and Stewart D.R. (2019).

DICER1 syndrome: Characterization of the ocular phenotype in a family-based cohort study.

Ophthalmology, 126(2), 296-304.

DOI | PubMed

Krenzke T. and Li J. (2019).

Replicating published data tables to assess sensitivity in subsequent analyses and mapping.

Chance, 32(2), 17-27.

Source (PDF)

Erciulescu A.L., Berg E., Cecere W., and Ghosh M. (2019).

A bivariate hierarchical Bayesian model for estimating cropland cash rental rates at the county level.

Survey Methodology, 45(2), 199-216.

Source

Munk T., O'Hara N., and Sulzberger L.A. (2019).

Examining representation and identification: Over, under, or both? (Version 2.0).

Rockville, MD: Westat.

Source (PDF)

Messier K.P., Wheeler D.C., Flory A.R., Jones R.R., Nolan B.T., and Ward M.H. (2019).

Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study.

Science of the Total Environment, 655, 512-519.

DOI | PubMed

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

Model-assisted survey estimation with imperfectly matched auxiliary data.

In Predictive econometrics and big data (pp. 21-35). (Studies in Computational Intelligence). New York, NY: Springer.

Source

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.

Journal of the Royal Statistical Society, Series A, 181, 1151-1167.

DOI

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.

Biometrika, 105(3), 681-690.

DOI

Sun H., Tourangeau R., and Presser S. (2018).

Panel effects: Do the reports of panel respondents get better or worse over time?.

Journal of Survey Statistics and Methodology, 7(4), 572-588.

DOI

Fay R.E. (2018).

Further comparisons of unit- and area-level small area estimators.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 2057-2070). Alexandria, VA: American Statistical Association.

Source (PDF)

Keusch F. and Yan T. (2018).

Is satisficing responsible for response order effects in rating scale question?.

Survey Research Methods, 12(3), 259-270.

DOI

Mohadjer L. and Edwards B. (2018).

Paradata and dashboards in PIAAC.

Quality Assurance in Education, 26(2), 263-277.

DOI

Cooper M., Pacek L.R., Guy M.C., Barrington-Trimis J.L., Simon P., Stanton C., and Kong G. (2018).

Hookah use among U.S. youth: A systematic review of the literature from 2009-2017.

Nicotine and Tobacco Research nty135.

DOI | PubMed

Cohn A.M., Johnson A.L., Rose S.W., Pearson J.L., Villanti A.C., and Stanton C. (2018).

Population-level patterns and mental health and substance use correlates of alcohol, marijuana, and tobacco use and co-use in US young adults and adults: Results from the Population Assessment of Tobacco and Health.

American Journal on Addictions, 27(6), 491-500.

DOI | PubMed

Robins C. (2018).

Qualitative research.

In B. Sobolev and C. Gatsonis (Eds.), Methods in health services research. New York, NY: Springer.

Source

Jones M., Brick J.M., and Piesse A. (2018).

The effects of address coverage enhancement on estimates from a study using an ABS frame.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 1586-1594). Alexandria, VA: American Statistical Association.

Source

Jiao R. and Piesse A. (2018).

An approach to predict final yield among interim cases.

Proceedings of the Government Statistics Section of the American Statistical Association (pp. 2045-2056). Alexandria, VA: American Statistical Association.

Source

Lin T.-H., Flores Cervantes I., Saito S., and Bain R. (2018).

Evaluating nonresponse weighting adjustment for the Population-Based HIV Impact Assessments Surveys: On incorporating survey outcomes.

Proceedings of the Survey Research Methods Section of the American Statistical Association (pp. 2515-2526). Alexandria, VA: American Statistical Association.

Source

Marker D.A., Mardon R., Jenkins F., Campione J., Nooney J., Li J., Saydeh S., Zhang X., Shrestha S., and Rolka D. (2018).

State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data.

Statistics in Medicine, 37(27), 3975-3990.

DOI | PubMed

Sinha R., Ahsan H., Blaser M., Caporaso J.G., Carmical J.R., Chan A.T., Fodor A., Gail M.H., Harris C.C., Helzlsouer K., Huttenhower C., Knight R., Kong H.H., Lai G.Y., Hutchinson D.L., Le Marchand L., Li H., Orlich M.J., Shi J., Truelove A., Verma M., Vogtmann E., White O., Willett W., Zheng W., Mahabir S., and Abnet C. (2018).

Next steps in studying the human microbiome and health in prospective studies, Bethesda, MD, May 16-17, 2017.

Microbiome, 6, 210.

DOI | PubMed

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Publications

Publications

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.

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

Estimation and inference of domain means subject to qualitative constraints.

Preparing for the need for a supply of native seed.

A variable selection method for small area estimation modeling of the proficiency of adult competency.

A program to compare two SAS® Format Catalogs.

A comparison of classification and regression tree methodologies when modeling survey nonresponse.

Comparing methods for assessing reliability.

Methods Development and Modeling Research: Contributions to Advancing TRS and Informing Regulations.

Methodology for linking Ryan White HIV/AIDS Program Services Report (RSR) client level data over multiple years.

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

Statistical challenges in combining survey and auxiliary data to produce official statistics.

Application of probability-based link-tracing and nonprobability approaches to sampling out-of-school youth in developing countries.

The relationship between interviewer-respondent rapport and data quality.

What works, what doesn't? Three studies designed to improve survey response.

Effects of outcome and response models on single-step calibration estimators.

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

Communication regulatory science: Mapping a new field.

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

Goodness-of-fit tests for distributions estimated from complex survey data.

A model-based approach to predict employee compensation components.

Checking validity of monotone domain mean estimators.

Population Assessment of Tobacco and Health (PATH) reliability and validity study: Selected reliability and validity estimates.

Discretionary wars, cost-benefit analysis, and the Rashomon effect: Searching for an analytical engine for avoiding war.

A framework for making decisions about question evaluation methods.

Harmonizing cigar survey data across TCORS, CTP, and PATH studies: The Cigar Collaborative Research (CCR) Group.

Comparison of three post-tabular confidentiality approaches for survey weighted frequency tables.

Vetting differences between relational database definitions and actual data with SAS.

Do-it-yourself CDISC! A case study of Westat's successful implementation of CDISC standards on a fixed budget.

Dental abnormalities in individuals with pathogenic germline variation in DICER1.

DICER1 syndrome: Characterization of the ocular phenotype in a family-based cohort study.

Replicating published data tables to assess sensitivity in subsequent analyses and mapping.

A bivariate hierarchical Bayesian model for estimating cropland cash rental rates at the county level.

Examining representation and identification: Over, under, or both? (Version 2.0).

Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study.

Model-assisted survey estimation with imperfectly matched auxiliary data.

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

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

Panel effects: Do the reports of panel respondents get better or worse over time?.

Further comparisons of unit- and area-level small area estimators.

Is satisficing responsible for response order effects in rating scale question?.

Paradata and dashboards in PIAAC.

Hookah use among U.S. youth: A systematic review of the literature from 2009-2017.

Population-level patterns and mental health and substance use correlates of alcohol, marijuana, and tobacco use and co-use in US young adults and adults: Results from the Population Assessment of Tobacco and Health.

Qualitative research.

The effects of address coverage enhancement on estimates from a study using an ABS frame.

An approach to predict final yield among interim cases.

Evaluating nonresponse weighting adjustment for the Population-Based HIV Impact Assessments Surveys: On incorporating survey outcomes.

State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data.

Next steps in studying the human microbiome and health in prospective studies, Bethesda, MD, May 16-17, 2017.

Want to work with us?You’ll be in great company.

Want to work with us?
You’ll be in great company.