[1] Du M., Lou Y.* and Sun J. (2026). Regression analysis of case K interval-censored failure time data with random change point and informative censoring. Annals of Applied Statistics, accepted.
[2] Du M.* and Zeng R. (2026). Estimation of semiparametric Probit model based on case-cohort interval-censored failure time data. Computational Statistics and Data Analysis, 213, 108266.
[3] Lou Y., Du M.* and Sun J. (2026). Two transfer learning approaches for regression analysis of high-dimensional interval-censored failure time data. Journal of Computational and Graphical Statistics, //doi.org/10.1080/10618600.2025.258
1761.
[4] Du M., Lou Y. and Sun J.* (2025). Estimation and variable selection for interval-censored failure time data with random change point and application to breast cancer study. Journal of the American Statistical Association, 120, 2276-2287.
[5] Du M., Lou Y.* and Sun J. (2025). Estimation of the additive hazards model based on interval-censored failure time data with random change point. Statistics and Computing, 35, 155.
[6] Du M.* and Zhou Q. (2025). Analysis of informatively interval-censored case-cohort studies with application to HIV vaccine trials. Communications in Mathematics and Statistics, 13, 195-215.
[7] Lou Y., Du M.* and Song X. (2025). Regression analysis of interval-censored failure time data with change points and a cured subgroup. Biometrics, 81, ujaf100.
[8]Lou Y., Du M.*, Wang P. and Wu Y. (2025). An augmented approach for regression analysis of case-cohort interval-censored failure time data. Statistics in Medicine, 44, e70115.
[9]Wu Y., Du M.*, Zhao, H. and Sun, J. (2025). Subgroup analysis for high dimensional survival data based on penalized fusion and model averaging. Electronic Journal of Statistics, 19, 291-313.
[10] Du M., Wu Q., Tong X, and Zhao X.* (2024). Deep learning for regression analysis of interval-censored failure time data. Electronic Journal of Statistics, 18, 4292-4321.
[11] Du M.* and Zhao X. (2024). A conditional approach for regression analysis of case K interval-censored failure time data with informative censoring. Computational Statistics & Data Analysis, 198, Article 107991.
[12] Lou Y., Ma Y. and Du M.* (2024). A new and unified method for regression analysis of interval-censored failure time data under semiparametric transformation models with missing covariates. Statistics in Medicine, 43, 2062-2082.
[13] Wang C. and Du M.* (2024). Martingale-residuals greedy model averaging for high-dimensional current status data. Statistics in Medicine, 43, 1726-1742.
[14] Zhang J., Du M., Liu Y.* and Sun J. (2023). A new model-free feature screening procedure for ultrahigh-dimensional interval-censored failure time data. Statistica Sinica, 33, 1809-1830.
[15] Du M., Zhao X. and Sun J.∗ (2022). Variable selection for case-cohort studies with informatively interval-censored outcomes. Computational Statistics & Data Analysis, 172, Article 107484.
[16] Du M. and Sun J.* (2022). Variable selection for interval-censored failure time data. International Statistics Review, 90, 193-215.
[17] Yang, D., Du, M.∗ and Sun, J. (2022). Semiparametric regression analysis of clustered interval-censored failure time data with a cured subgroup. Statistics in Medicine, 40 (30), 6918-6930.
[18] Du M., Zhao H.* and Sun J. (2021). A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data. Statistical Methods in Medical Research, 30, 1833-1849.
[19] Du, M., Li, H.∗ and Sun, J. (2021). Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer’s disease. Computational Statistics & Data Analysis, 157, Article 107157.
[20] Du, M., Zhou, Q., Zhao, S. and Sun, J.∗ (2021). Regression analysis of case-cohort studies in the presence of dependent interval censoring. Journal of Applied Statistics, 48(5), 846-865.
[21] Du, M., Li, H.∗ and Sun, J. (2020). Additive hazards regression for case-cohort studies with interval-censored data. Statistics and Its Interface, 13(2), 181-191.
[22] Du, M., Hu, T.∗ and Sun, J. (2019). Semiparametric probit model for informative current status data. Statistics in Medicine, 38, 2219-2227.
