Michael Bergrab

Research Data Center, Methods Development | Sampling, Weighting, and Imputation

Vita

Publications

2024

Bergrab, M., & Aßmann, C. (2024). Automated Bayesian variable selection methods for binary regression models with missing covariate data. AStA Wirtschafts- und Sozialstatistisches Archiv, 18, 203–244. https://doi.org/10.1007/s11943-024-00345-1

2021

Bergrab, M. (2021). Samples, weights and nonresponse: NEPS Starting Cohort 4 - Grade 9 (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories. https://doi.org/10.5157/NEPS:SC4:12.0.0
Würbach, A., Landrock, U., Schnapp, T., Ziesmer, J., & Bergrab, M. (2021). NEPS Technical Report for weighting – the additional Corona survey of the National Educational Panel Study (NEPS Survey Paper No. 89). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP89:1.0

2020

Bergrab, M. (2020). Samples, weights and nonresponse: NEPS Starting Cohort 4 - grade 9 School and vocational training - Educational pathways of students in grade 9 (wave 11) (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories. https://www.neps-data.de/Portals/0/NEPS/Datenzentrum/Forschungsdaten/SC4/11-0-0/SC4_11-0-0_W.pdf

Selected presentations and lectures

2025

Bergrab, M. (2025, February 25). Variable selection - an automated Bayesian view for handling missing values [Paper presentation]. British Council Springboard Meeting at the Strathclyde University, Glasgow, Scotland.

2023

Bergrab, M. (2023, July 17 - 21). Variable selection methods for binary variables and missing data [Paper presentation]. 10th European Survey Research Association (ESRA) Conference - Survey research in times of crisis: Challenges, opportunities, and new directions, Milan, Italy. https://www.europeansurveyresearch.org/conference/milan-2023/call-sessions/
Bergrab, M. (2023, September 11). A Bayesian view on variable and model selection methods for binary variables and missing data [Paper presentation]. Statistische Woche 2023, Dortmund, Deutschland.