Cui, Y., Hannig, J., Edlefsen, P. Semiparametric fiducial inference for Cox models. Journal of the Royal Statistical Society, Series B. In press.
Shen, T., Cui, Y. Proxy-Aided Demand Learning with an Application to Various Pricing Problems. Operations Research. In press.
Li, Y., Han, E., Hu, Y., Zhou, W., Qi, Z., Cui, Y., Zhu, R. Reinforcement Learning with Continuous Actions Under Unmeasured Confounding. Journal of the American Statistical Association. In press.
Cui, Y., Han, S. Policy learning with distributional welfare. Journal of the American Statistical Association. In press.
Chen, C.*, Zhou, W.*, Cui, Y.*, Cao, K., Chen, M., Qu, R., Miao, J., Qi, J., Wu, X., Chen, J., Zhang, H., Dai, A., Feng, Q., Yang, Y., Zhou, J., Dong, N., Yang. S. (2025) Global, Regional, and National Characteristics of the Main Causes of Increased Disease Burden due to the COVID-19 Pandemic: Time-series Modeling Analysis of Global Burden of Disease Study 2021. BMJ, 390, e083868.
Zhao, P., Cui, Y. (2025) A semiparametric instrumented difference-in-differences approach to policy learning. Biometrika, 112(4), asaf043.
Cui, Y., Hannig, J., Kosorok, M. R. (2024) A unified nonparametric fiducial approach to interval-censored data. Journal of the American Statistical Association, 119(547), 2230-2241.
Cui, Y., Pu, H., Shi, X., Miao, W., Tchetgen Tchetgen, E. J. (2024) Semiparametric proximal causal inference. Journal of the American Statistical Association, 119(546), 1348-1359.
Michael, H., Cui, Y., Lorch, S., Tchetgen Tchetgen, E. J. (2024) Instrumental variable estimation of marginal structural mean models for time-varying treatment. Journal of the American Statistical Association, 119(546), 1240-1251.
Cui, Y., Tchetgen Tchetgen, E. J. (2024) Selective machine learning of doubly robust functionals. Biometrika, 111(2), 517-535.
Cui, Y., Gong, R., Hannig, J., Hoffman, K. (2023) Technical Comment on “Policy impacts of statistical uncertainty and privacy”. Science, 380(6648).
Cui, Y., Kosorok, M. R., Sverdrup, E., Wager, S., Zhu, R. (2023) Estimating heterogeneous treatment effects with right-censored data via causal survival forests. Journal of the Royal Statistical Society: Series B, 85(2), 179-211.
Cui, Y., Michael, H., Tanser, F., Tchetgen Tchetgen, E. J. (2023) Instrumental variable estimation of the marginal structural Cox model for time-varying treatments. Biometrika, 110(1), 101-118.
Cui, Y., Tchetgen Tchetgen, E. J. (2021) Machine intelligence for individualized decision making under a counterfactual world: A rejoinder. Journal of the American Statistical Association, 116(533), 200-206.
Cui, Y., Tchetgen Tchetgen, E. J. (2021) A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity (with discussion). Journal of the American Statistical Association, 116(533), 162-173.
Cui, Y., Hannig, J. (2019) Rejoinder to "Nonparametric generalized fiducial inference for survival functions under censoring". Biometrika, 106(3), 527-531.
Cui, Y., Hannig, J. (2019) Nonparametric generalized fiducial inference for survival functions under censoring (with discussion). Biometrika, 106(3), 501-518.