Publications

'*': Corresponding author; '^': Alphabetical order; '#': Student
  1. Szabo, Z., Liu, X., & Xiang, L.* (2020). Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data. Journal of Statistical Planning and Inference, 205, 175-192..
  2. Liu, X., & Xiang, L.* (2021). Generalised accelerated hazards mixture cure models with interval-censored data. Computational Statistics & Data Analysis, 161, 107248
  3. Liu, X., Liu, Y., Pan, G., Zhang, L., & Zhang, Z.* (2025). Asymptotic limits of spiked eigenvalues and eigenvectors of signal-plus-noise matrices with weak signals and heteroskedastic noise. Bernoulli .
  4. Liu, X., & Xiang, L.* (2025). Bayesian analysis of doubly semiparametric mixture cure models with interval-censored data. Statistics and Computing, 35(3), 1-19
  5. Zhang, P., Liu, D., Liu, X., Fan, S., Chen, Y., Yu, T., & Dong, L. (2026). Identification of Tumor-and Immunosuppression-Driven Glioblastoma Subtypes Characterized by Clinical Prognosis and Therapeutic Targets. Current Issues in Molecular Biology, 48(1), 103.
  6. Guo, Y.#, Wang, C, Liu, X. * (2026). Bayesian semiparametric partially linear cure models with partly interval-censored data. Lifetime Data Analysis, 32(1), 4.
  7. Liu, X., Szabo, Z., & Xiang, L.* (2026). A double-semiparametric approach for extending mixture cure models with interval-censored data. Statistical Methods in Medical Research, 09622802261442911.

Preprint

  1. Huang, X.#, Yu, T., & Liu, X.* (2026+). Single-index semiparametric transformation cure model with interval-censored data. Statistics and Computing, Accepted.
  2. Liu, X., Wang, X., Yu, T.* (2026+). Prognostic accuracy of biomarkers for cure status prediction under diverse censoring patterns.
  3. Cheng, S., Liu, X. , Wang, W.* (2026+). RKHS-based Approach for Semiparametric Partially Linear Models with Panel Count Data.