In the field of survey statistics, we investigate different aspects of the quality of surveys. Sample design, in particular sample size and sample composition, have a direct impact on the representativeness of survey results. Unit nonresponse and item nonresponse pose further challenges to data quality. The research activities in the field of survey statistics therefore focus on problems and solutions associated with random sampling. These are also investigated in several third-party funded projects.
Our research on Survey Statistics
- Drawing procedures for complex sample designs
- Nonresponse (bias) analysis
- Weighting procedures for survey designs
- Imputation of missing values
- Variance estimation under complex sample designs and imputation of missing values
- Application of machine learning methods in survey statistics
- Plath, Michaela, Matthias Sand, Mark-Philip Gruchlik, Karim Zaoui, and Ingo Baumann. 2024. "Kurzfristige Lebensqualitätsbewertung nach Nasennebenhöhlenoperation bei chronischer Rhinosinusitis." Laryngo-Rhino-Otologie online first. doi: https://doi.org/10.1055/a-2306-2702.
- Daikeler, Jessica, Leon Fröhling, Indira Sen, Lukas Birkenmaier, Tobias Gummer, Jan Schwalbach, Henning Silber, Bernd Weiß, Katrin Weller, and Clemens Lechner. 2024. "Assessing Data Quality in the Age of Digital Social Research: A Systematic Review." Social Science Computer Review online first. doi: https://doi.org/10.1177/08944393241245395.
- Plath, Michaela, Lara Derycke, Matthias Sand, Drieke Van de Vyvere, Tim Delemarre, Carlo Cavaliere, Peter K. Plinkert, Gabriele Holtappels, and Claus Bachert. 2023. "Can patient-reported outcomes and inflammatory markers define endotype 2 in chronic rhinosinusitis without nasal polyps?" Annals of Allergy Asthma & Immunology 130 (4): 485-493. doi: https://doi.org/10.1016/j.anai.2022.11.020.
- Deckert, Andreas, Andreas Simon, Ivonne Morales, Manuela de Allegri, Hoa Thi Nguyen, Aurélia Souares, Shannon McMahon, Matthias Meurer, Robin Burk, Dan Lou, Lucia Brugnara, Matthias Sand, Lisa Koeppel, Michael Maier-Marx, Paul Schnitzer, Michael Knop, Till Bärninghaus, and Claudia Denkinger. 2023. "Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial." JMIR Public Health Surveillance 9 e44204. doi: https://doi.org/10.2196/44204.
- Loenenbach, Anna, Viktoria Schönfeld, Anja Takla, Miriam Wiese-Posselt, Adine Marquis, Sarah Thies, Matthias Sand, Andreas M. Kaufmann, Ole Wichmann, and Thomas Harder. 2023. "Human papillomavirus prevalence and vaccine effectiveness in young women in Germany, 2017/2018: results from a nationwide study." Frontiers in Public Health 11 (31 August 2023): 1204101. doi: https://doi.org/10.3389/fpubh.2023.1204101.
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Find out more about our consulting and services:
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Data harmonization
Tools and topic-specific harmonized data for your research project
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Harmonisation
Consulting on the harmonization of content elements and social-structural characteristics
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Harmonizing and synthesizing partnership histories
A tool for harmonization and synthesis of couple biographical data.
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Harmonizing substantive instruments
Consultation on harmonization of latent construct measurement instruments.
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Imputation of Missing Values
We perform imputation of missing values for your complete data set or even selected variables
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