# Journal of Data Science, Volume 23, Issue 3, 2025
Zhou, T., Wiens, B., & Wang, T. (2025). Editorial: 2024 WNAR/IMS/Graybill Annual Meeting. Journal of Data Science, 23(3), 451-453.
https://doi.org/10.6339/25-JDS233EDIWang, T., Liu, J., & Wu, A. (2025). 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-JDS1155Jin, 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-JDS1163Shan, 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-JDS1177Wang, R., Dai, R., Huang, Y., Neuhouser, M. L., Lampe, J., Raftery, D., Tabung, F. K., & Zheng, C. (2025). Variable Selection with FDR Control for Noisy Data – An Application to Screening Metabolites that Are Associated with Breast Cancer and Colorectal Cancer. Journal of Data Science, 23(3), 499-520.
https://doi.org/10.6339/25-JDS1166Chen, M., Nguyen, T. T., & 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-JDS1169Pollock, C. P., Hoegh, A., Irvine, K. M., de Wit, L. A., & Reichert, B. E. (2025). Estimating Disease Prevalence from Preferentially Sampled, Pooled Data. Journal of Data Science, 23(3), 542-559.
https://doi.org/10.6339/25-JDS1191Ghosh, I., Zheng, Q., Egger, M. E., & 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# Journal of Data Science, Volume 23, Issue 4, 2025
Lu, X., Qiu, Y., Jin, Z., Zhang, C., & Zhong, W. (2025). Editorial: Statistical Frontiers of Data Science. Journal of Data Science, 23(4), 575-577.
https://doi.org/10.6339/25-JDS234EDILu, H., Cheng, H., Wang, Y., Xie, Y., Yan, H., Wang, X., Ma, P., & Zhong, W. (2025). Mortgage Prepayment Modeling via a Smoothing Spline State Space Model. Journal of Data Science, 23(4), 578-591.
https://doi.org/10.6339/25-JDS1165Cai, M., Zhao, K., Huang, P., Celedón, J. C., McKennan, C., Chen, W., & Wang, J. (2025). EMixed: Probabilistic Multi-Omics Cellular Deconvolution of Bulk Omics Data. Journal of Data Science, 23(4), 592-606.
https://doi.org/10.6339/25-JDS1170Li, Y., Alemdjrodo, K., Lin, Y., Zhang, M., & Zhang, D. (2025). Exploring Massive Risk Factors of Categorical Outcomes via Supervised Dimension Reduction. Journal of Data Science, 23(4), 607-623.
https://doi.org/10.6339/25-JDS1188Zhou, R., He, K., Wang, D., Liu, L., Ma, S., Qu, A., Miller, J., & Liu, L. (2025). Neural Network for Correlated Survival Outcomes Using Frailty Model. Journal of Data Science, 23(4), 624-637.
https://doi.org/10.6339/25-JDS1173Zhang, X., & Ma, C. (2025). Analysis of Bilateral and Unilateral Data: A Comparative Review of Model-Based and MLE-Based Methods for the Homogeneity Test of Proportions. Journal of Data Science, 23(4), 638-647.
https://doi.org/10.6339/25-JDS1168Gao, T., Dai, B., & Qiu, Y. (2025). ReLU-ReHU Representations of Piecewise Linear-Quadratic Losses. Journal of Data Science, 23(4), 648-658.
https://doi.org/10.6339/24-JDS1162Shao, Q. (2025). Interval Forecasting in Time Series Analysis: Application to COVID-19 and Beyond. Journal of Data Science, 23(4), 659-675.
https://doi.org/10.6339/25-JDS1187Zhang, C., Zhang, Z., Zhong, X., Li, J., & Zhao, Z. (2025). A Statistician's Selective Review of Neural Network Modeling: Algorithms and Applications. Journal of Data Science, 23(4), 676-694.
https://doi.org/10.6339/25-JDS1167Liu, M., Li, J., Wei, T., Wang, X., & Lu, X. (2025). A Journey of Wisdom and Impact: A Conversation with Dr. Xizhi Wu. Journal of Data Science, 23(4), 695-715.
https://doi.org/10.6339/25-JDS1204