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KIM Jung Hyun

ORCID
0000-0001-7313-5481
Main Referenced Co-authors
LEIST, Anja  (8)
Muniz-Terrera, Graciela (5)
KLEE, Matthias  (3)
BORDAS, Stéphane  (2)
Rehkopf, David (2)
Main Referenced Keywords
Epidemiology (2); machine learning (2); Aged (1); aging (1); causal structural learning (1);
Main Referenced Unit & Research Centers
Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI) (5)
Main Referenced Disciplines
Special economic topics (health, labor, transportation...) (6)
Public health, health care sciences & services (5)
Sociology & social sciences (4)
Computer science (1)
Neurosciences & behavior (1)

Publications (total 10)

The most downloaded
246 downloads
LEIST, A., KLEE, M., KIM, J. H., Rehkopf, D., BORDAS, S., Muniz-Terrera, G., & Wade, S. (2022). Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances, 8, 1942. doi:10.1126/sciadv.abk1942 https://hdl.handle.net/10993/52494

The most cited

102 citations (OpenAlex)

LEIST, A., KLEE, M., KIM, J. H., Rehkopf, D., BORDAS, S., Muniz-Terrera, G., & Wade, S. (2022). Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances, 8, 1942. doi:10.1126/sciadv.abk1942 https://hdl.handle.net/10993/52494

KIM, J. H. (2025). Older workers, labor policy and cognitive health [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/64444

KIM, J. H., Glymour, M. M., Langa, K. M., & LEIST, A. (2025). Improving accuracy in the estimation of probable dementia in racially and ethnically diverse groups with penalized regression and transfer learning. American Journal of Epidemiology. doi:10.1093/aje/kwaf001
Peer Reviewed verified by ORBi

KIM, J. H., SUHRCKE, M., & LEIST, A. (January 2025). The unintended effects of a large minimum wage increase on health: Evidence from South Korea. Social Science and Medicine, 365. doi:10.1016/j.socscimed.2024.117626
Peer Reviewed verified by ORBi

KIM, J. H., Muniz-Terrera, G., & LEIST, A. (October 2023). Does (re-)entering the labour market at advanced ages protect against cognitive decline? A matching difference-in-differences approach. Journal of Epidemiology and Community Health, 77 (10), 663 - 669. doi:10.1136/jech-2022-220197
Peer Reviewed verified by ORBi

Zuber, S., Bechtiger, L., Bodelet, J. S., Golin, M., Heumann, J., KIM, J. H., KLEE, M., MUR, J., Noll, J., Voll, S., O'Keefe, P., Steinhoff, A., Zölitz, U., Muniz-Terrera, G., Shanahan, L., Shanahan, M. J., & Hofer, S. M. (July 2023). An integrative approach for the analysis of risk and health across the life course: challenges, innovations, and opportunities for life course research. Discover social science and health, 3 (1), 14. doi:10.1007/s44155-023-00044-2
Peer reviewed

KIM, J. H.* , SUHRCKE, M., & LEIST, A. (2023). The unintended effects of a large minimum wage increase on health: Evidence from South Korea [Paper presentation]. SEMILUX, Luxembourg.

KIM, J. H., Muniz-Terrera, G., & LEIST, A. (2022). Does (Re-)Entering the Labor Market at Advanced Ages Protect Against Cognitive Decline? A Panel-Matching Difference-in-differences Approach. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51169.

LEIST, A., KLEE, M., KIM, J. H., Rehkopf, D., BORDAS, S., Muniz-Terrera, G., & Wade, S. (2022). Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances, 8, 1942. doi:10.1126/sciadv.abk1942
Peer Reviewed verified by ORBi

KIM, J. H., Graciela Muniz Terrera, & LEIST, A. (2022). Does (Re-)Entering at Advanced Ages Protect Against Cognitive Decline? [Paper presentation]. European Health Economics Association Conference 2022, Oslo, Norway.

LEIST, A., KLEE, M., KIM, J. H., Rehkopf, D., BORDAS, S., Muniz-Terrera, G., & Wade, S. (2021). Machine learning in the social and health sciences. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/47733.

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