ORCID: 0000-0003-0122-9993
Preprints
Zhang, D. and Sun, B. (2025). Debiased Continuous Updating GMM with Many Weak Instruments.
Zhang, D., Yao, M., Liu, Z. and Sun, B. (2025). MR-MAGIC: Robust causal inference using many weak genetic interactions.
Bai, Y., Cui, Y. and Sun, B. (2025). Proximal inference on population intervention indirect effect.
Statistics & Data Science
Lin, Y., Guo, Z., Sun, B., and Lin, Z. (2025+). Testing high-dimensional mediation effect with arbitrary exposure-mediator coefficients. TEST, forthcoming.
Miao, W., Li, X., Zhang, P. and Sun, B. (2025). A stableness of resistance model for nonresponse adjustment with callback data. Journal of the Royal Statistical Society, Series B (Statistical Methodology) 87 (2): 433-456.
Sun, B., Miao, W. and Wickramarachchi, D. (2024+). On doubly robust estimation with nonignorable missing data using instrumental variables. Statistica Sinica, forthcoming.
Ye, T., Liu, Z., Sun, B. and Tchetgen Tchetgen, E. (2024). GENIUS-MAWII: For robust Mendelian randomization with many weak invalid instruments. Journal of the Royal Statistical Society, Series B (Statistical Methodology) 86 (4): 1045-1067.
Sun, B. and Ye, T. (2023). Semiparametric causal mediation analysis with unmeasured mediator-outcome confounding. Statistica Sinica 33 (4): 2593-2612.
Wickramarachchi, D., Lim, H. and Sun, B. (2023). Mediation analysis with multiple mediators under unmeasured mediator-outcome confounding. Statistics in Medicine 42 (4): 422-432.
Sun, B., Liu, Z. and Tchetgen Tchetgen, E. (2023). Semiparametric efficient G-estimation with invalid instrumental variables. Biometrika 110 (4): 953-971.
Liu, Z., Ye, T., Sun, B., Schooling, M. and Tchetgen Tchetgen, E. (2023). On Mendelian randomization mixed-scale treatment effect robust identification (MR MiSTERI) and estimation for causal inference. Biometrics 79 (3): 2208-2219.
Yue, M., Li, J. and Sun, B. (2022). Conditional sparse boosting for high-dimensional instrumental variable estimation. Journal of Statistical Computation and Simulation 92 (15): 3087-3108.
Sun, B., Cui, Y. and Tchetgen Tchetgen, E. (2022). Selective machine learning of the average treatment effect with an invalid instrumental variable. Journal of Machine Learning Research 23 (204): 1-40.
Sun, B. and Tan, Z. (2022). High-dimensional model-assisted inference for local average treatment effects with instrumental variables. Journal of Business and Economic Statistics 40 (4): 1732-1744.
Sun, B. and Miao, W. (2022). On semiparametric instrumental variable estimation of average treatment effects through data fusion. Statistica Sinica 32: 569-590.
Tchetgen Tchetgen, E., Sun, B. and Walter, S. (2021) The GENIUS approach to robust Mendelian randomization inference. Statistical Science 36 (3): 443-464.
Evans, K., Sun, B., Robins, J. and Tchetgen Tchetgen, E. (2021) Doubly robust regression analysis for data fusion. Statistica Sinica 31 (3): 1285-1307.
Liu, L., Miao, W., Sun, B., Robins, J. and Tchetgen Tchetgen, E. (2020) Identification and inference for marginal average treatment effect on the treated with an instrumental variable. Statistica Sinica 30 (3): 1517-1541.
Sun, B. and Tchetgen Tchetgen, E. (2018). On inverse probability weighting for nonmonotone missing at random data. Journal of the American Statistical Association 113 (521): 369-379.
Sun, B., Liu, L., Miao, W., Wirth K., Robins, J. and Tchetgen Tchetgen, E. (2018) Semiparametric estimation with data missing not at random using an instrumental variable. Statistica Sinica 28: 1965-1983.
Tchetgen Tchetgen, E., Wang, L. and Sun, B. (2018). Discrete choice models for nonmonotone nonignorable missing data: Identification and inference. Statistica Sinica 28: 2069-2088 .
Sun, B., VanderWeele, T. and Tchetgen Tchetgen, E. (2017). A multinomial regression approach to model outcome heterogeneity. American Journal of Epidemiology 186 (9): 1097-1103.
Sun, B., Perkins, N. J., Cole, S. R., Harel, O., Mitchell, E. M., Schisterman, E. F. and Tchetgen Tchetgen, E. (2017). Inverse-probability-weighted estimation for monotone and nonmonotone missing data. American Journal of Epidemiology 187 (3): 585-591.
Perkins, N. J., Cole, S. R., Harel, O., Tchetgen Tchetgen, E., Sun, B., Mitchell, E. M. and Schisterman, E. F. (2017). Principled approaches to missing data in epidemiologic studies. American Journal of Epidemiology 187 (3): 568-575.
Harel, O., Mitchell, E. M., Perkins, N. J., Cole, S. R., Tchetgen Tchetgen, E., Sun, B. and Schisterman, E. F. (2017). Multiple imputation for incomplete data in epidemiologic studies. American Journal of Epidemiology 187 (3): 576-584.
Statistical Genetics
Cheng, S., Lyu, J., Shi, X., Wang, K., Wang, Z., Deng, M., Sun, B. and Wang, C. (2022). Rare variant association tests for ancestry-matched case-control data based on conditional logistic regression. Briefings in Bioinformatics 23 (2): bbab572.
Cheng, Q., Qiu, T., Chai, X., Sun, B., Xia, Y., Shi, X. and Liu, J. (2022). MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants. Bioinformatics 38 (2): 303-310.
Dou, J., Sun, B., Sim, X., Hughes, J.D., Reilly, D.F., Tai, E.S., Liu, J. and Wang, C., (2017). Estimation of kinship coefficient in structured and admixed populations using sparse sequencing data. PLoS Genetics 13 (9): e1007021.