Journal of Data Science

Chen M, Nguyen TT, Liu J (2025). High-dimensional confounding in causal mediation: A comparison study of double machine learning and regularized partial correlation network. Journal of Data Science, 23(3): 521–541. https://doi.org/10.6339/25-JDS1169

Ghosh I, Zheng Q, Egger M, Kong M (2025). Estimating healthcare expenditure using parametric change point models. Journal of Data Science, 23(3): 560–574. https://doi.org/10.6339/24-JDS1157

Jin Y, Leroux A (2025). Comparing estimators of discriminative performance of time-to-event models. Journal of Data Science, 23(3): 470–490. https://doi.org/10.6339/25-JDS1163

Pollock CP, Hoegh A, Irvine KM, de Wit LA, Reichert BE (2025). Estimating disease prevalence from preferentially sampled, pooled data. Journal of Data Science, 23(3): 542–559. https://doi.org/10.6339/25-JDS1191

Shan G (2025). Restricted mean survival time for a randomized study with survival outcome. Journal of Data Science, 23(3): 491–498. https://doi.org/10.6339/25-JDS1177

Wang R, Dai R, Huang Y, Neuhouser M, Lampe J, Raftery D, et al. (2025a). Variable selection with FDR control for noisy data–an application to screening metabolites that are associated with breast and colorectal cancer. Journal of Data Science, 23(3): 499–520. https://doi.org/10.6339/25-JDS1166

Wang T, Liu J, Wu A (2025b). Bibliographical connections for semiparametric analysis in case-control studies on gene-environment interactions. Journal of Data Science, 23(3): 454–469. https://doi.org/10.6339/24-JDS1155