韩邈

生存分析，纵向数据与复发事件数据的统计推断，复杂异质性数据分析

Han, M., Song, X., Sun, L. and Liu, L. (2014). Joint modeling of longitudinal data with informative observation times and dropouts. Statistica Sinica, 24, 1487-1504.

Han, M., Song, X., Sun, L. and Liu, L. (2016). An additive-multiplicative mean model for marker data contingent on recurrent event with an informative terminal event. Statistica Sinica, 26, 1197-1218.

Han, M., Sun, L., Liu, Y. and Zhu, J. (2018). Joint analysis of recurrent event data with additive–multiplicative hazards model for the terminal event time. Metrika, 81, 523-547.

Han, M., Han, D. and Sun, L. (2018). A class of partially linear transformation models for recurrent gap times. Communications in Statistics-Theory and Methods, 47, 739-766.

Han, D., Han, M., Huang, J., & Lin, Y. (2023). Robust inference for high‐dimensional single index models. Scandinavian Journal of Statistics, 50(4), 1590-1615.

Han, M., Lin, Y., Liu, W., & Wang, Z. (2024). Robust inference for subgroup analysis with general transformation models. Journal of Statistical Planning and Inference, 229, 106100.

Han, D., Han, M., Hao, M., Sun, L., & Wang, S. (2024). Group inference of high-dimensional single-index models. Journal of Nonparametric Statistics, online.

肖志英，刘小峰，段园家，韩邈. (2025). 右删失生存数据平均剩余寿命模型的变量选择.《应用数学学报》，online.

Duan, Y., Han, M., & Sun, L. A nested copula model for recurrent gap times with a dependent terminal event, under review.

Han, M., Cui, H., & Sun, L. A flexible joint model for longitudinal data with informative observation times and a dependent terminal event, under review.