Char  Hilgers

Char Hilgers

Research Topics and Working Areas
  • Missing data
  • Statistics
  • Data science
  • Multiple imputation
Char Hilgers is a PhD student in Sociology at the Humboldt University's Berlin Graduate School of Social Science, funded by the Socio-Economic Panel at DIW Berlin. Their research is on statistical techniques for nonresponse in survey settings: when missingness means something. From multiple imputation for handling missing not at random, to the data integration of probability and non-probability surveys. They are interested in refusal, misdirection, and obfuscation in survey settings, and ethical dilemmas around these. They hold a Master's in Industrial and Applied Mathematics and a Bachelor's in Pure Mathematics, and they have worked as a data scientist in forest monitoring, epidemiology, and supply chain forecasting.

Downloads

Lectures

Vortrag

Filling in the Blanks: Augmenting Survey Data Imputation with an External Prior

Char Hilgers
Berlin, 23.04.2026
| Seminar: DIW Berlin
Vortrag

Filling in the Blanks: Augmenting Survey Data Imputation with External Data and Rubin’s Sampling/Importance Resampling Algorithm

Char Hilgers, Sabine Zinn
Den Haag, Niederlande, 05.10.2025 - 09.10.2025
| 65th ISI World Statistics Congress
Moderation

Missing Data, Selection Bias and Informative Censoring in Cross-Sectional and Longitudinal Survey

Angelina Hammon, Char Hilgers, Sabine Zinn
Utrecht, Niederlande, 14.07.2025 - 18.07.2025
| 11th Conference of the European Survey Research Association (ESRA 2025)
Vortrag

Filling in the Blanks: Augmenting Survey Data Imputation with External Data and Rubin’s Sampling/Importance Resampling Algorithm

Char Hilgers, Sabine Zinn
Utrecht, Niederlande, 14.07.2025 - 18.07.2025
| 11th Conference of the European Survey Research Association (ESRA 2025)
Vortrag

Filling in the Blanks: Augmenting Survey Data Imputation with External Data and Rubin’s SIR Algorithm

Char Hilgers
Warschau, Polen, 09.09.2024 - 14.09.2024
| 1st German-Polish Ph.D. Summer School in Economics: University of Warsaw and DIW Berlin
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