JS Bodelet, G Blanc, J Shan, G Muniz-Terrera, and OY Chén. Statistical quantile learning for large additive latent variable models. The Journal of the American Statistical Association (2025)
JS Bodelet, C Potente, H Imeri, J Chumbley, S Hofer, G Muniz-Terrera and M Shanahan. A Bayesian functional approach to test models of life course epidemiology over the continuous time. International Journal of Epidemiology (2024)
C Potente, J Bodelet, H Imeri, S Cole, K Harris, M Shanahan. Socioeconomic status across the early life course predicts gene expression signatures of disease and senescence. Journal of Epidemiology and Community Health (2024)
OY Chén, JS Bodelet, R Saraiva, H Phan, J Di, G Nagels, T Schwantje, H Cao, J Gou, J Reinen, B Xiong, B Zhi, X Wang, M de Vos. The roles, challenges, and merits of the p value. Patterns (2023)
S Zuber, L Bechtiger, JS Bodelet, M Golin, J Heumann, JH Kim, M Klee, J Mur, J Noll, S Voll, P O'Keefe, A Steinhoff, U Zolitz, G Muniz Terrera, L Shanahan, M Shanahan, S Hofer. An integrative approach for the analysis of risk and health across the life course: Challenges, innovations, and opportunities for life course epidemiology. Discover Social Science and Health (2023)
JS Bodelet, D La Vecchia. Robust Sieve M-estimation with application to dimension reduction. Electronic Journal of Statistics (2022)
C Potente, J Chumbley, W Xu, B Levitt, S Cole, R Sudharshan, JS Bodelet, L Gaydosh, K Mullan Harris and M Shanahan. Socio-economic Inequalities Characterize Molecular Risk for Aging in Young Adulthood. American Journal of Epidemiology (2022)
M Shanahan, S Cole, J Chumbley, W Xu, R Sudharshan, C Potente, B Levitt, JS Bodelet, A Aiello, L Gaydosh, K Mullan Harris. Socioeconomic Inequalities in Molecular Risk for Chronic Diseases Observed in Young Adulthood. Proceedings of the National Academy of Sciences (2022)
R Bouhia, G Blanc, J Falciola, P Kaczmarczyk, JS Bodelet. Between stress and strain: understanding, measuring, and analysing financial conditions in developing countries in times of Covid-19 and beyond. United Nations Development Account Project (2022)
C Bodelet, JS Bodelet, C Landelle, A Gauchet. Seasonal flu vaccination, a matter of emotion? An experimental study on role of compassion, socioeconomic status and perceived threat among healthcare workers. Health and Psychology (2021)
N Baghirova, DT Vũ, DC Can, C Schneuwly Diaz, JS Bodelet, G Blanc, G Hrusanov, B Ries, and OY Chén. Explainable graph-theoretical machine learning: With application to Alzheimer’s disease prediction. (2025)
OY Chén, DT Vũ, C Schneuwly Diaz, JS Bodelet, H Phan, G Allali, VD Nguyen, H Cao, X He, Y Müller, B Zhi, H Shou, H Zhang, W He, X Wang, M Munafò, NL Trung, G Nagels, P Ryvlin, G Pantaleo. Residual partial least squares learning: Brain cortical thickness simultaneously predicts eight non-pairwise-correlated behavioural and disease outcomes in Alzheimer's disease. (2024)
C Schneuwly Diaz, DT Vũ, JS Bodelet, DC Can, G Blanc, H Jiang, L Yao, G. Pantaleo, and OY Chén. OPTIMUS: Predicting multivariate outcomes in Alzheimer’s disease using multi-modal data amidst missing values. (2025)