Publications

Treviño M., Zhu X., Lu Y.Y., Scheuer L.S., Passell E., Huang G.C., Germine L.T., and Horowitz. T.S. (2021).

How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests.

Cognitive Research: Principles and Implications, 6.

Source | DOI | PubMed

Jones M., Brick J.M., and Van de Kerckhove W. (2021).

Effects of address coverage enhancement on estimates from address-based sampling studies.

Journal of Survey Statistics and Methodology.

DOI

Paolicelli C., Borger C., DeMatteis J., Gollapudi B., Machado J., Reat A., Ritchie L., Sun B., Whaley S., and Zimmerman T.P. (2021).

The WIC Infant and Toddler Feeding Practices Study-2 (WIC ITFPS-2) through age 5: What we've learned, what questions remain, and how you can use this longitudinal dataset.

Current Developments in Nutrition, 5(Supplement 2), 173.

Source | DOI

Marker D.A., Brock S., Steiger D., DeMatteis J., and Popick H. (2021).

Jewish community studies in the twenty-first century.

Contemporary Jewry.

Source | DOI | PubMed

Jones M., Cecere W.E., Lin T.-H., Kali J., and Flores Cervantes I. (2021).

Modeling survey nonresponse under a cluster sample design: Classification and regression tree methodologies compared.

Proceedings of the Survey Research Methods Section of the American Statistical Association. Alexandria, VA: American Statistical Association.

Source

Kali J., Krenzke T., Chen Y., Chen J.A., and Green J. (2021).

Evaluation of methods to form segments from Census blocks in area sample designs.

Proceedings of the Survey Research Methods Section of the American Statistical Association. Alexandria, VA: American Statistical Association.

Source

Li J., Li L., Krenzke T., and Chang W.-Y. (2021).

An approach to estimate the reidentification risk in longitudinal survey microdata.

Proceedings of the Survey Research Methods Section of the American Statistical Association. Alexandria, VA: American Statistical Association.

Source

Yu Q., Johnson M.C., Fishbein H.A., Birch R.J., Zhu X., Mardon R., Pace W., Mathew S.M., Sawyer H.L., Merrill L.S., Umbel K.D., and Jang S. (2021).

Latent class trajectory analysis of risk factors uncovers progression to type 2 diabetes.

Journal of Endocrinological Science, 3(1), 26-35.

Source | DOI

Raithel M.A. (2021).

The SAS data set characterization utility.

Proceedings of SAS Global Forum 2021. Cary, NC: SAS Institute.

Source

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

Oh A.Y., Caporaso A., Davis T., Dwyer L.A., Nebeling L.C., Liu B., and Hennessy E. (2021).

Effect of incentive amount on U.S. adolescents' participation in an accelerometer data collection component of a national survey.

Field Methods, 33(3), 219-235.

Source | DOI

Diaz E., Brooks G., and Johanson G. (2021).

Detecting differential item functioning: Item response theory methods versus the Mantel-Haenszel procedure.

International Journal of Assessment Tools in Education, 8(2), 376 - 393.

Source | DOI

Yan T. (2021).

Consequences of asking sensitive questions in surveys.

Annual Review of Statistics and Its Application, 8, 109-127.

DOI

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. 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., 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

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

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

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Publications

Publications

How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests.

Effects of address coverage enhancement on estimates from address-based sampling studies.

The WIC Infant and Toddler Feeding Practices Study-2 (WIC ITFPS-2) through age 5: What we've learned, what questions remain, and how you can use this longitudinal dataset.

Jewish community studies in the twenty-first century.

Modeling survey nonresponse under a cluster sample design: Classification and regression tree methodologies compared.

Evaluation of methods to form segments from Census blocks in area sample designs.

An approach to estimate the reidentification risk in longitudinal survey microdata.

Latent class trajectory analysis of risk factors uncovers progression to type 2 diabetes.

The SAS data set characterization utility.

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

Effect of incentive amount on U.S. adolescents' participation in an accelerometer data collection component of a national survey.

Detecting differential item functioning: Item response theory methods versus the Mantel-Haenszel procedure.

Consequences of asking sensitive questions in surveys.

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.

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

The relationship between interviewer-respondent rapport and data quality.

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.

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

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