Christoph Kern
Citado por
Citado por
Tree-based machine learning methods for survey research
C Kern, T Klausch, F Kreuter
Survey research methods 13 (1), 73, 2019
Global trends and predictors of face mask usage during the COVID-19 pandemic
E Badillo-Goicoechea, TH Chang, E Kim, S LaRocca, K Morris, X Deng, ...
BMC Public Health 21 (1), 1-12, 2021
A Self-Replicating Radiation-Shield for Human Deep-Space Exploration: Radiotrophic Fungi can Attenuate Ionizing Radiation aboard the International Space Station
GK Shunk, XR Gomez, C Kern, NJH Averesch
BioRxiv, 2020
Predicting voting behavior using digital trace data
RL Bach, C Kern, A Amaya, F Keusch, F Kreuter, J Hecht, J Heinemann
Social Science Computer Review 39 (5), 862-883, 2021
Universal adaptability: Target-independent inference that competes with propensity scoring
MP Kim, C Kern, S Goldwasser, F Kreuter, O Reingold
Proceedings of the National Academy of Sciences 119 (4), e2108097119, 2022
Evaluation bestehender gesetzlicher Mindestlohnregelungen–Branche: Gebäudereinigung
G Bosch, T Kalina, C Kern, S Neuffer, M Schwarzkopf, C Weinkopf
Abschlussbericht, Universität Duisburg, IAQ, 2011
Migration, social stratification and dynamic effects on subjective well being
M Erlinghagen, C Kern, P Stein
Advances in Life Course Research 48, 100393, 2021
Social impacts of algorithmic decision-making: A research agenda for the social sciences
F Gerdon, RL Bach, C Kern, F Kreuter
Big Data & Society 9 (1), 20539517221089305, 2022
Distributive justice and fairness metrics in automated decision-making: How much overlap is there?
M Kuppler, C Kern, RL Bach, F Kreuter
arXiv preprint arXiv:2105.01441, 2021
Boosted Kernel Weighting–Using Statistical Learning to Improve Inference From Nonprobability Samples
C Kern, Y Li, L Wang
Journal of Survey Statistics and Methodology 9 (5), 1088-1113, 2021
Fairness in Algorithmic Profiling: A German Case Study
C Kern, RL Bach, H Mautner, F Kreuter
arXiv preprint arXiv:2108.04134, 2021
mcboost: Multi-Calibration Boosting for R
F Pfisterer, C Kern, S Dandl, M Sun, MP Kim, B Bischl
Journal of Open Source Software 6 (64), 3453, 2021
From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of automated decision-making
M Kuppler, C Kern, R Bach, F Kreuter
Frontiers in Sociology, 155, 2022
Predicting nonresponse in future waves of a probability-based mixed-mode panel with machine learning
C Kern, B Weiß, JP Kolb
Journal of Survey Statistics and Methodology, smab009, 2021
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making
C Kern, F Gerdon, RL Bach, F Keusch, F Kreuter
Patterns 3 (10), 2022
Comparing coefficients of nonlinear multivariate regression models between equations
C Kern, P Stein
Survey Research Methods 9 (3), 159-167, 2015
A preregistered vignette experiment on determinants of health data sharing behavior: Willingness to donate sensor data, medical records, and biomarkers
H Silber, F Gerdon, R Bach, C Kern, F Keusch, F Kreuter
Politics and the Life Sciences 41 (2), 161-181, 2022
Completion conditions and response behavior in smartphone surveys: A prediction approach using acceleration data
C Kern, JK Höhne, S Schlosser, M Revilla
Social Science Computer Review 39 (6), 1253-1271, 2021
Regional structures and mobility dispositions: A multilevel proportional- & partial-proportional odds approach
C Kern
SOEPpapers on Multidisciplinary Panel Data Research 681, 2014
A Longitudinal Framework for Predicting Nonresponse in Panel Surveys
C Kern, B Weiß, JP Kolb
arXiv preprint arXiv:1909.13361, 2019
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