Publications

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.

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

The relationship between interviewer-respondent rapport and data quality.

Han D. and Valliant R. (2020).

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

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.

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.

Ratner J. (2019).

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

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

A framework for making decisions about question evaluation methods.

Meilan Vila A., Opsomer J.D., Francisco-Fernandez M., and Crujeiras R.M. (2019).

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

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

Checking validity of monotone domain mean estimators.

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

A model-based approach to predict employee compensation components.

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.

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

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

Raithel M. (2019).

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

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.

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.

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.

Krenzke T. and Li J. (2019).

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

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.

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

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

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

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

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.

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

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

Fay R.E. (2018).

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

Keusch F. and Yan T. (2018).

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

Mohadjer L. and Edwards B. (2018).

Paradata and dashboards in PIAAC.

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.

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.

Robins C. (2018).

Qualitative research.

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

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

Jiao R. and Piesse A. (2018).

An approach to predict final yield among interim cases.

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.

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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Brick J.M. (2018).

Sampling to minimize nonresponse bias.

Brick J.M. (2018).

Optimizing response rates.

Maitland A., Tourangeau R., and Sun H. (2018).

Separating science knowledge from religious belief: Two approaches for reducing the effect of identity on survey responses.

Noel V.A., Francis S.E., and Tilley M.A. (2018).

An adapted measure of sibling attachment: Factor structure and internal consistency of the Sibling Attachment Inventory in youth.

Metcalfe J.D., Riley J.K., McGurk S.R., Hale T.W., Drake R.E., and Bond G.R. (2018).

Comparing predictors of employment in Individual Placement and Support: A longitudinal analysis.

Finster M. and Milanowski A. (2018).

Teacher perceptions of a new performance evaluation system and their influence on practice: A within- and between-level analysis.

Yan T., Keusch F., and He L. (2018).

The impact of question and scale characteristics on scale direction effects.

Raithel M.A. (2018).

Validating user-submitted data files with Base SAS.

Olsen R.B., Bell S.H., and Nichols A. (2018).

Using preferred applicant random assignment (PARA) to reduce randomization bias in randomized trials of discretionary programs.

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.

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