Publications

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

Comparing methods for assessing reliability.

Journal of Survey Statistics and Methodology.

DOI

Yan T. (2020).

Intercoder Reliability.

In P. Atkinson, S. Delamont, A. Cernat, J.W. Sakshaug, and R.A. Williams (Eds.), Sage Research Methods Foundations. London: Sage Publications.

Source

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

Dezember A., Stoltz M., Marmolejo L., Kanewske C., Doyle Feingold K., Wire S., Duhaime L., and Maupin C. (2020).

Research note: The lack of experimental research in criminology – evidence from Criminology and Justice Quarterly.

Experimental Criminology.

Source | DOI

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

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

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

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

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

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

Tipton E. and Olsen R.B. (2018).

A review of statistical methods for generalizing from evaluations of educational interventions.

Educational Researcher, 47(8), 516-524.

DOI

Williams D. and Brick J.M. (2018).

Trends in U.S. face-to-face household survey nonresponse and level of effort.

Journal of Survey Statistics and Methodology, 6(2), 186-211.

DOI

Suzer-Gurtekin T., Valliant R., Heeringa S.G., and de Leeuw E.D. (2018).

Mixed-mode surveys: Design, estimation and adjustment methods.

In T.P. Johnson, B.E. Pennell, I.A.L. Stroop, and B. Dorer (Eds.), Advances in comparative survey methods: Multinational, multiregional, and multicultural contexts (3MC) (pp. 409-430). Hoboken, NJ: John Wiley and Sons, Inc.

Source

Valliant R., Dever J.A., and Kreuter F. (2018).

Practical tools for designing and weighting survey samples, 2nd edition.

New York, NY: Springer.

Source

Valliant R. and Dever J.A. (2018).

Survey weights: A step-by-step guide to calculation.

College Station, TX: Stata Press.

Source

Chen J.K.T., Valliant R., and Elliott M.R. (2018).

Model-assisted calibration of non-probability sample survey data using adaptive LASSO.

Survey Methodology, 44(1), 117-144.

Source (PDF)

Stanton C.A. and Halenar M.J. (2018).

Patterns and correlates of multiple tobacco product use in the United States.

Nicotine and Tobacco Research, 20(suppl. 1), S1-S4.

DOI | PubMed

Brick J.M. (2018).

Sampling to minimize nonresponse bias.

In D.L. Vannette and J.A. Krosnick (Eds.), The Palgrave handbook of survey research (pp. 23-28). Cham, Switzerland: Palgrave Macmillan.

Source

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Publications

Publications

Comparing methods for assessing reliability.

Intercoder Reliability.

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

Research note: The lack of experimental research in criminology – evidence from Criminology and Justice Quarterly.

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.

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.

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.

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

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

An approach to predict final yield among interim cases.

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.

A review of statistical methods for generalizing from evaluations of educational interventions.

Trends in U.S. face-to-face household survey nonresponse and level of effort.

Mixed-mode surveys: Design, estimation and adjustment methods.

Practical tools for designing and weighting survey samples, 2nd edition.

Survey weights: A step-by-step guide to calculation.

Model-assisted calibration of non-probability sample survey data using adaptive LASSO.

Patterns and correlates of multiple tobacco product use in the United States.

Sampling to minimize nonresponse bias.

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

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