AHO, V., GEBHARDT, C., LEIST, A., KLEE, M., PAVELKA, L., & WILMES, P. (2024). Behind the paper: Gut microbes and mild cognitive impairment in Parkinson’s disease — is there a connection? ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/61627. |
KLEE, M. (2024). INVESTIGATION OF MODIFIABLE SOCIAL AND BEHAVIOURAL RISK FACTORS OF COGNITIVE DECLINE AND DEMENTIA [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/61258 |
AHO, V., KLEE, M., LANDOULSI, Z., Heintz-Buschart, A., PAVELKA, L., LEIST, A., KRÜGER, R., MAY, P., WILMES, P., & NCER-PD Consortium. (06 April 2024). Gut microbiome is not associated with mild cognitive impairment in Parkinson's disease. NPJ Parkinson's Disease, 10 (1), 78. doi:10.1038/s41531-024-00687-1 Peer Reviewed verified by ORBi |
KLEE, M., Langa, K. M., & LEIST, A. (20 March 2024). Performance of probable dementia classification in a European multi-country survey. Scientific Reports, 14 (1), 6657. doi:10.1038/s41598-024-56734-7 Peer Reviewed verified by ORBi |
KLEE, M., AHO, V., MAY, P., Heintz-Buschart, A., LANDOULSI, Z., JONSDOTTIR, S., PAULY, C., PAVELKA, L., DELACOUR, L., KAYSEN, A., Krüger, R., WILMES, P., LEIST, A., Acharya, G., Aguayo, G., Alexandre, M., ALI, M., Ammerlann, W., ARENA, G., ... ZELIMKHANOV, G. (2024). Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome. Journal of Prevention of Alzheimer's Disease. doi:10.14283/jpad.2024.19 Peer reviewed |
KLEE, M., AHO, V., MAY, P., KRÜGER, R., WILMES, P., & LEIST, A. (2023). EDUCATION AS A RISK FACTOR OF MILD COGNITIVE IMPAIRMENT—THE ROLE OF THE GUT MICROBIOME. Innovation in Aging. doi:10.1093/geroni/igad104.0228 Peer Reviewed verified by ORBi |
KLEE, M., AHO, V., MAY, P., Heintz-Buschart, A., LANDOULSI, Z., JONSDOTTIR, S., PAULY, C., PAVELKA, L., DELACOUR, L., KAYSEN, A., KRÜGER, R., WILMES, P., LEIST, A., & NCER-PD Consortium. (November 2023). Education as risk factor of Mild Cognitive Impairment - the role of the gut microbiome. Presentation in symposium: Social determinants of brain health: From the search for mechanisms to recommendations to increase equity [Paper presentation]. Annual Meeting of the Gerontological Society of America. |
AHO, V., KLEE, M., LANDOULSI, Z., Heintz-Buschart, A., PAVELKA, L., LEIST, A.* , Krüger, R.* , MAY, P.* , & WILMES, P.*. (2023). Mild cognitive impairment is not associated with gut microbiota alterations in Parkinson’s disease. (v1). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57437. doi:10.21203/rs.3.rs-3372525/v1 * These authors have contributed equally to this work. |
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 |
KLEE, M., Bodelet, J., & Muniz-Terrera, G. (July 2023). Investigating the Role of the Accumulation of Depressive Symptoms for the Risk of Dementia [Poster presentation]. Alzheimer's Association International Conference, Amsterdam, Netherlands. Editorial reviewed |
KLEE, M., AHO, V., MAY, P., Heintz-Buschart, A., LANDOULSI, Z., JONSDOTTIR, S., PAULY, C., PAVELKA, L., DELACOUR, L., KAYSEN, A., KRÜGER, R., WILMES, P., LEIST, A., & NCER-PD Consortium, (Other coll.). (July 2023). Education as risk factor of Mild Cognitive Impairment - the role of the gut microbiome [Poster presentation]. Alzheimer’s Association (AAIC) Conference. |
KLEE, M., LEIST, A., Veldsman, M., Ranson, J. M., & Llewellyn, D. J. (2023). Socioeconomic Deprivation, Genetic Risk, and Incident Dementia. American Journal of Preventive Medicine. doi:10.1016/j.amepre.2023.01.012 Peer Reviewed verified by ORBi |
KLEE, M., Langa, K. M., & LEIST, A. (March 2023). Adapted Langa-Weir probable dementia classification outperforms other algorithms in 26 European countries without clinical dementia assessments [Poster presentation]. Alzheimer's Research UK Conference 2023, Aberdeen, United Kingdom. Editorial reviewed |
KLEE, M., AHO, V., MAY, P., KRÜGER, R., WILMES, P., LEIST, A., & NCER-PD Consortium (Other coll.). (January 2023). Education as risk factor of Mild Cognitive Impairment - the role of the gut microbiome [Poster presentation]. Conference Precision Medicine in Parkinson’s: Past lessons and conquering new frontiers. |
KLEE, M., Langa, K. M., & LEIST, A. (07 July 2022). Country-level Variation of Dementia Prevalence in Europe - Comparing OECD and SHARE Data [Paper presentation]. Munich Center for the Economics of Aging (MEA) Seminar, Munich, Germany. |
PAULY, L., KLEE, M., PACCOUD, I., SATAGOPAM, V., GHOSH, S., FRITZ, J., O'Sullivan, M., WILMES, P., KRÜGER, R., & LEIST, A. (April 2022). Individual factors and beliefs determining COVID-19 vaccination willingness [Poster presentation]. ECCMID 2022. |
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 |
LEIST, A., KLEE, M., PACCOUD, I., PAULY, L., GHOSH, S., FRITZ, J., O Sullivan, M. P., ROMMES, B., WILMES, P., KRÜGER, R., & CON-VINCE Consortium. (2021). Which demographic and socio-economic factors are associated with vaccination willingness and beliefs towards vaccination? Rapid report with first results. https://orbilu.uni.lu/handle/10993/48567 |
KLEE, M., & LEIST, A. (July 2021). Investigating the associations of trajectories of depressive symptoms and self-perceived health and incident dementia : an unsupervised machine learning approach [Poster presentation]. Alzheimer's Association International Conference. |
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. |