Publications

Fink R.V., Fisher L., Sulaeman H., Dave H., Levy M.E., McCann L., Di Germanio C., Notari E., 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?.

Transfusion, 62(7), 1321-1333.

Source | DOI | PubMed

Madrigal J.M., Gunier R.B., Jones R.R., Flory A., Metayer C., Nuckols J.R., and Ward M.H. (2022).

Contributions of nearby agricultural insecticide applications to indoor residential exposures.

Environment International, 171, 107657.

Source | DOI | PubMed

Sugarbaker P.H. and Chang D. (2022).

Incomplete cytoreduction of colorectal cancer peritoneal metastases: Survival outcomes by a cytoreduction score.

Visceral Medicine, 38(2), 99-108.

Source | DOI | PubMed

Borger C., Paolicelli C., Sun B., Zimmerman T.P., and Dixit-Joshi S. (2022).

Duration of WIC participation and early feeding practices are associated with meeting the added sugars recommendation at age 3 years.

Journal of Nutrition Education and Behavior, 54(7), 670-676.

Source | DOI | PubMed

Borger C., Paolicelli C.P., and Sun B. (2022).

Duration of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) participation is associated with children's diet quality at age 3 years.

American Journal of Preventive Medicine, 62(6), e343-e350.

Source | DOI | PubMed

Gundersen D.A., Wivagg J., Young W.J., Yan T., and Delnevo C.D. (2021).

The use of multimode data collection in random digit dialing cell phone surveys for young adults: Feasibility study.

Journal of Medical Internet Research, 23(12), e31545.

Source | DOI | PubMed

Douglass D., Zimmerman T.P., Narayana V., Miller A., Mittl B., Paul T.L., Nicholson T., O'Connor L., Herrick K., and Kaefer C. (2021).

Development of a tool for researchers to specify new foods to be included in the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool.

Current Developments in Nutrition, 5(Suppl. 2), 872.

Source | DOI

Bailey J.E., Gurgol C., Pan E., Njie S., Emmett S., Gatwood J., Gauthier L., Rosas L.G., Kearney S.M., Robler S.K., Lawrence R.H., Margolis K.L., Osunkwo I., Wilfley D., and Shah V.O. (2021).

Early patient-centered outcomes research experience with the use of telehealth to address disparities: Scoping review.

Journal of Medical Internet Research, 23(12), e28503.

Source | DOI | PubMed

Patel M., Oh A.Y., Dwyer L.A., D'Angelo H., Stinchcomb D.G., Liu B., Yu M., and Nebeling L.C. (2021).

Effects of buffer size and shape on the association of neighborhood SES and adult fruit and vegetable consumption.

Frontiers in Public Health, 9, 706151.

Source | DOI | PubMed

Shams-White M., O'Connor L., O'Connor S., Miller A., Mittl B., Nicholson T., Kaefer C., and Herrick K. (2021).

Development of a sleep assessment module in the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool: New research opportunities.

Current Developments in Nutrition, 5(Suppl. 2), 474.

Source | DOI

Campione J., Mardon R.E., and McDonald K.M. (2019).

Patient safety culture, health information technology implementation, and medical office problems that could lead to diagnostic error.

Journal of Patient Safety, 15(4), 267-273.

DOI | PubMed

Dulaney R. and Allan G.J.B. (2018).

Using Blaise 5 for CAPI.

Proceedings of the 18th International Blaise Users Conference (pp. 21-30). Baltimore, MD: International Blaise Users' Group.

Source (PDF)

Amsbary M.M., Dulaney R., Kamens J., and Michaels J. (2018).

Web screen presentation using Blaise 5.

Proceedings of the 18th International Blaise Users Conference (pp. 135-148). Baltimore, MD: International Blaise Users' Group.

Source (PDF)

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

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

New York, NY: Springer.

Source

Tourangeau R., Sun H., Yan T., Maitland A., Rivero G., and Williams D. (2018).

Web surveys by smartphones and tablets: Effects on data quality.

Social Science Computer Review, 36(5), 542-556.

DOI

Raithel M.A. (2017).

Going green with your SAS applications.

Proceedings of SAS Global Forum 2017 Conference. Cary, NC: SAS Institute Inc.

Source (PDF)

Raithel M.A. (2017).

Did you know that? Essential hacks for clever SAS programmers.

Bethesda, MD: CreateSpace Independent Publishing Platform.

Source

Edwards B., Kreuter F., Eckman S., Biemer P.P., de Leeuw E., Lyberg L.E., Tucker N.C., and West B.T. (2017).

Total survey error in practice.

Hoboken, NJ: John Wiley & Sons.

Source

Yan T. and Keusch F. (2017).

Web versus mobile web: An experimental study of device effects and self-selection effects.

Social Science Computer Review, 35(6), 751-769.

DOI

Robins C.S. and Eisen K. (2017).

Strategies for the effective use of NVivo in a large-scale study: Qualitative analysis and the repeal of Don't Ask, Don't Tell.

Qualitative Inquiry.

DOI

Legum S.E. (2017).

Removal of PII.

Proceedings of the SAS Global Forum 2017 Conference. Cary, NC: SAS Institute Inc.

Source (PDF)

Tourangeau R., Maitland A., Rivero G., Sun H., Williams D., and Yan T. (2017).

Web surveys by smartphone and tablets: Effects on survey responses.

Public Opinion Quarterly, 81(4), 896-929.

DOI

Miller A., Brotzman M., Kennedy A.E., Khoury M.J., Ioannidis J.P., Lane C., Lai G.Y., Rogers S.D., Harvey C., Elena J.W., and Seminara D. (2016).

The Cancer Epidemiology Descriptive Cohort Database: A tool to support population-based interdisciplinary research.

Cancer, Epidemiology, Biomarkers, and Prevention, 25(10), 1392-1401.

DOI | PubMed

Miller A. and McKenna L. (2016).

Electronic Death Reporting System online reference manual: A resource guide for jurisdictions.

National Center for Health Statistics. Atlanta, GA: Division of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention.

Source (PDF)

Valliant R., Dever J.A., and Kreuter F. (2015).

PracTools: Computations for design of finite population samples.

The R Journal, 7(2), 163-176.

Source (PDF)

Lohr S. and Zhu X. (2015).

Randomized sequential individual assignment in social experiments: Evaluating the design options prospectively.

Sociological Methods and Research.

DOI

Avrunin-Becker S. (2015).

How to make a stunning state map using SAS/Graph for Beginners.

Proceedings of the SouthEast SAS Users Group Conference.

Source (PDF)

Woodruff S. (2015).

A beginner's Babblefish: Basic skills for translation between R and SAS.

Proceedings of the SouthEast SAS Users Group Meeting. Miami, FL: SouthEast SAS Users Group.

Source (PDF)

Raithel M.A. (2014).

Supporting SAS In a research environment.

Proceedings of SAS Global Forum 2014 Conference. Cary, NC: SAS Institute Inc.

Source (PDF)

Botts N., Peterson S., Hovick S., Burton-Chase A., Ba F., Basen-Engquist K., Fisch M., Horan T., Thoms B., Stingo F., Yzquierdo R., Galvan C., and Rieber A. (2014).

Preferences for eHealth technology in meeting the health information needs of underserved cancer survivors.

Psycho-Oncology, 23, 73-74.

Viet S.M., Purdue M.P., Friesen M.C., Locke S.J., Chen Y.C., Koh D.H., Stewart P.A., Colt J.S., Zaebst D., Shortreed S., Pardo L., Schwartz K.L., and Davis F.G. (2014).

Using machine learning to efficiently use multiple experts to assign occupational lead exposure estimates in a case-control study.

Occupational and Environmental Medicine, 71(suppl. 1), A25-A26.

DOI

Vovsha P., Simas M.G., Davidson W., Chu C., Farley R., Mitchell M., and Vyas G. (2014).

Statistical analysis of transit user preferences including in-vehicle crowding and service reliability.

TRB 93rd Annual Meeting Compendium of Papers (# 14-4953). Washington, DC: Transportation Research Board.

Source

Jones R.R., DellaValle C.T., Flory A.R., Nordan A., Hoppin J.A., Hofmann J.N., Chen H., Giglierano J., Lynch C.F., Freeman L.E., Rushton G., and Ward M.H. (2014).

Accuracy of residential geocoding in the Agricultural Health Study.

International Journal of Health Geographics, 13(1), 37.

DOI | PubMed

Ellen J.M., Greenberg L., Willard N., Chutuape K.S., and Muyeed A.Z. (2014).

Adding to the HIV Prevention Portfolio – The achievement of structural changes by 13 Connect to Protect Coalitions.

Global Journal of Community Psychology Practice, 5(2), 42377.

PubMed

Krenzke T., Diallo M.S., Hubbell K., Gopinath A., and Chen S. (2014).

Data coarsening and data swapping algorithms.

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

Source (PDF)

Woodruff S. (2014).

Flat pack data: Converting and ZIPping SAS data for delivery.

Proceedings of the SouthEast SAS Users Group Meeting.

Source

Avrunin-Becker S. (2014).

How to make an impressive map of the United States with SAS/Graph for beginners.

Proceedings of the SouthEast SAS Users Group Conference.

Source (PDF)

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You’ll be in great company.

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Publications

Publications

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

Contributions of nearby agricultural insecticide applications to indoor residential exposures.

Incomplete cytoreduction of colorectal cancer peritoneal metastases: Survival outcomes by a cytoreduction score.

Duration of WIC participation and early feeding practices are associated with meeting the added sugars recommendation at age 3 years.

Duration of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) participation is associated with children's diet quality at age 3 years.

The use of multimode data collection in random digit dialing cell phone surveys for young adults: Feasibility study.

Development of a tool for researchers to specify new foods to be included in the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool.

Early patient-centered outcomes research experience with the use of telehealth to address disparities: Scoping review.

Effects of buffer size and shape on the association of neighborhood SES and adult fruit and vegetable consumption.

Development of a sleep assessment module in the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool: New research opportunities.

Patient safety culture, health information technology implementation, and medical office problems that could lead to diagnostic error.

Using Blaise 5 for CAPI.

Web screen presentation using Blaise 5.

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

Web surveys by smartphones and tablets: Effects on data quality.

Going green with your SAS applications.

Did you know that? Essential hacks for clever SAS programmers.

Total survey error in practice.

Web versus mobile web: An experimental study of device effects and self-selection effects.

Strategies for the effective use of NVivo in a large-scale study: Qualitative analysis and the repeal of Don't Ask, Don't Tell.

Removal of PII.

Web surveys by smartphone and tablets: Effects on survey responses.

The Cancer Epidemiology Descriptive Cohort Database: A tool to support population-based interdisciplinary research.

Electronic Death Reporting System online reference manual: A resource guide for jurisdictions.

PracTools: Computations for design of finite population samples.

Randomized sequential individual assignment in social experiments: Evaluating the design options prospectively.

How to make a stunning state map using SAS/Graph for Beginners.

A beginner's Babblefish: Basic skills for translation between R and SAS.

Supporting SAS In a research environment.

Preferences for eHealth technology in meeting the health information needs of underserved cancer survivors.

Using machine learning to efficiently use multiple experts to assign occupational lead exposure estimates in a case-control study.

Statistical analysis of transit user preferences including in-vehicle crowding and service reliability.

Accuracy of residential geocoding in the Agricultural Health Study.

Adding to the HIV Prevention Portfolio – The achievement of structural changes by 13 Connect to Protect Coalitions.

Data coarsening and data swapping algorithms.

Flat pack data: Converting and ZIPping SAS data for delivery.

How to make an impressive map of the United States with SAS/Graph for beginners.

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

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