Research Interests:

• Variable selection in causal inference

• Causal inference with unmeasured confounders

• Quantile regression 

Publications:

• Tang, D., Kong, D., Pan, W., and Wang, L. (2023) Ultra-high dimensional variable selection for doubly robust causal inference. Biometrics, 79(2), 903-914. [pdf][code]

• Zhou,Y., Tang, D., Kong, D., Wang, L. (2024) The promises of parallel outcomes. Biometrika, (2), 537-550. [pdf]       

• Tang, D., Kong, D., and Wang, L. (2026+) The synthetic instrument: From sparse association to sparse causation. Journal of the Royal Statistical Society: Series B, to appear. [pdf][package]

Early Career Award, the ASA Section on Statistics in Epidemiology, 2025;

Junior Researcher Award, the ICSA China, 2025

• Tang, D., He, X, and Jiang, S. (2026+) Supervised functional censored quantile regression with application to mammogram data. Under revision at Journal of the Royal Statistical Society: Series C.

Working papers:

• Marginal causal effect estimation with continuous instrumental variables (with Dong, M, Liu, L, Liu, J, Xu, W, and Wang, L, submitted)

• A robust framework for two-sample Mendelian randomization (with He, X, Jiang, S, and Yang, S)