Paul P. Biemer
Affiliations: | Biostatistics | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Biostatistics Biology, StatisticsGoogle:
"Paul Biemer"
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Publications
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Amaya A, Biemer PP, Kinyon D. (2020) Total Error in a Big Data World: Adapting the TSE Framework to Big Data Journal of Survey Statistics and Methodology. 8: 89-119 |
Eck A, Cazar ALC, Callegaro M, et al. (2019) Big Data Meets Survey Science Social Science Computer Review. 89443931988339 |
Murphy J, Biemer P, Berry C. (2018) Transitioning a Survey to Self-Administration using Adaptive, Responsive, and Tailored (ART) Design Principles and Data Visualization Journal of Official Statistics. 34: 625-648 |
Edwards SL, Berzofsky ME, Biemer PP. (2017) Effect of Missing Data on Classification Error in Panel Surveys Journal of Official Statistics. 33: 551-570 |
Japec L, Kreuter F, Berg M, et al. (2015) Big data in survey research: Aapor task force report Public Opinion Quarterly. 79: 839-880 |
Berzofsky ME, Biemer PP, Kalsbeek WD. (2014) Local Dependence in Latent Class Analysis of Rare and Sensitive Events. Sociological Methods & Research. 43: 137-170 |
McCormick MC, Baker DB, Biemer PP, et al. (2014) The National Children's Study 2014: commentary on a recent National Research Council/Institute of Medicine Report. Academic Pediatrics. 14: 545-6 |
Eltinge JL, Biemer PP, Holmberg A. (2013) A Potential Framework for Integration of Architecture and Methodology to Improve Statistical Production Systems Journal of Official Statistics. 29: 125-145 |
Biemer PP, Chen P, Wang K. (2013) Using level‐of‐effort paradata in non‐response adjustments with application to field surveys Journal of the Royal Statistical Society Series a-Statistics in Society. 176: 147-168 |
Biemer P, Peytchev A. (2013) Using Geocoded Census Data for Nonresponse Bias Correction: An Assessment Journal of Survey Statistics and Methodology. 1: 24-44 |