Publication
Publication
Emulate Trials:
Liu, B., Zhou, X., Li, F. (2025) Sample size and power calculation for propensity score analysis of observational studies. Software: PSpower
Estimand:
Zhou, X., Li, F. (2025+) Estimands and Estimation in Randomized Trials with Intercurrent Events: A review and comparison (working paper)
Causal Machine Learning:
Ke, D., Zhou, X., Yang, Q., & Song, X. (2024). Double robust triple-fit machine learning estimators for causal inference with imaging data. Statistics in Biosciences.
Zhou, X., Kang, K., & Song, X. (2020). Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates. Statistics in Medicine, 39(13), 1801-1816.
Wang, C., Yang, Q., Zhou, X., & Song, X. (2022). Bayesian Quantile Latent Factor on Image Regression. Structural Equation Modeling: A Multidisciplinary Journal, 1-16.
Bayesian Joint Model:
Zhou, X., & Song, X. (2024). Joint analysis of multivariate longitudinal, imaging, and time-to-event data. Journal of the Royal Statistical Society Series C: Applied Statistics, 73(4), 921-934.
Zhou, X., & Song, X. (2023). Functional concurrent hidden Markov model. Statistics and Computing, 33(3): 57.
Zhou, X., Kang, K., Kwok, T., & Song, X. (2022). Joint hidden Markov model for longitudinal and time-to-event data with latent variables. Multivariate Behavioral Research, 57(2-3), 441-457.
Yang, Q., Wang, C., He, H., Zhou, X., & Song, X. (2022). Additive hazards model with time-varying coefficients and imaging predictors. Statistical Methods in Medical Research, 32(2).
Bayesian Mediation Analysis:
Zhou, X., & Song, X. (2023). Causal Mediation Analysis for Multivariate Longitudinal Data and Survival Outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 1-12.
Zhou, X., & Song, X. (2021). Mediation analysis for mixture Cox proportional hazards cure models. Statistical Methods in Medical Research, 30(6), 1554-1572.
Sun, R., Zhou, X., & Song, X. (2021). Bayesian causal mediation analysis with latent mediators and survival outcome. Structural Equation Modeling: A Multidisciplinary Journal, 28(5), 778-790.
Zhang, L., Ding, Z., Cui.J., Zhou, X., Yi, N. (2025). Bayesian Generalized Linear Models for Analyzing Compositional and Sub-Compositional Microbiome Data via EM Algorithm. Statistics in Medicine, 44(7).