•Xu W., Hou Y., Lu T.Y. (2023). Multiple assessments of non-inferiority trials with ordinal endpoints. Statistics in Medicine. 2023;1-14. doi: 10.1002/sim.9660.
•崔俊、鲁统宇、任婷婷(2022). 不同付费模式下评级机构的评级标准变化. 上海金融,7期,2-17.
•任婷婷、鲁统宇、崔俊(2021). 基于改进AdaBoost算法的动态不平衡财务预警模型. 数量经济技术经济研究, 11期,182-197.
•Lu T.Y., Chung K.P., Poon W.Y., and Cheung S.H. (2020). Response-Adaptive Treatment Allocation for Clinical Studies with Ordinal Responses. Statistical Methods in Medical Research.29,359-373.
•Lu, T.Y., Lin, Y. and Zhong, J. (2017). Pairwise comparisons of treatments with ordinal responses in a two-way setting. Communications in Statistics: Theory and Methods, 46, 10549-10563.
•Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2016). Multiple comparisons of treatments with skewed ordinal responses. Computational Statistics and Data Analysis, 104, 223-232.
•Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2016). Comparison of two treatments with skewed ordinal responses. Statistics in Medicine, 35, 189-201.
•Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2015). Multiple comparisons with a control for a latent variable model with ordered categorical responses, Statistical Methods in Medical Research,24, 949-967.
•Lu, T.Y., Poon, W.Y., and Cheung, S.H. (2014). A unified framework for the comparison of treatments with ordinal responses. Psychometrika, 79, 605-620.
•Lu, T.Y., Poon, W.Y., and Tsang, Y.F. (2011). Latent growth curve modeling for longitudinal ordinal responses with applications. Computational Statistics and Data Analysis,55, 1488-1497.