Publications and Preprints
Statistical Methodology
Adaptive Experiments Toward Learning Treatment Effect Heterogeneity. Wei, W., Ma, X., and Wang, J.* (2024).
(This manuscript received ICSA Applied Statistics Symposium 2023 Student Paper Award).
Electronic Medical Records Assisted Digital Clinical Trial Design. Ruan, X., Wang, J., Wang, Y., and Wei, W. (2024). Accepted by Artificial Intelligence and Statistics (AISTATS).
Fair Adaptive Experiments. Wei, W., Ma, X., and Wang, J.* (2023). Neural Information Processing Systems (NeurlPS). [arxiv version]
Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups. Wei W., Petersen M., van der Laan M., Zheng Z., Wu C.*, and Wang J.* (2022). Biometrics. [arxiv version]
(This manuscript received ASA Nonparametric Statistics Section 2022 Student Paper Award).
Assessing Heterogeneous Risk of Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data. Guo, X.**, Wei, W.**, Liu, M., Cai, T., Wu, C., and Wang, J.* (2022). Journal of the American Statistical Association. [arxiv version]
Inference on the best policies with many covariates. Wei W.,** Zhou Y.,** Zheng Z., and Wang J.* (2022). Journal of Econometrics. [arxiv version]
Sharp Inference on Selected Subgroups in Observational Studies. Guo, X., Wei, W., Wu, C., and Wang, J.* (2021).
** Co-first authorship
* Corresponding authorship
Statistical Collaboration
Epigenome-Wide Association Studies of Occupational Exposure to Benzene and Formaldehyde . Phillips, R.V.**, Wei, L.**, Cardenas, A., Hubbard, A.E., McHale, C.M.,Vermeulen, R., Wei, H., Smith, M.T*., Zhang, L., Lan, Q., Rothman,N. (2022). Epigenetics.
Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania. Fahey, C.A.**, Wei, L.**, Njau, P.F., Shabani, S., Kwilasa, S., Maokola, W., Packel, L., Zheng, Z., Wang, J.*, McCoy, S.* (2022). PLOS Global Public Health.
The Structural Violence Trap: Disparities in Homicide, Chronic Disease Death, and Social Factors Across San Francisco Neighborhoods. (2022).Boeck, M.A., Wei, W., Robles, A.J., Nwabuo, A.I., Plevin, R.E., Juillard, C.J., Bibbins-Domingo, K., Hubbard, A. and Dicker, R.A. Journal of the American College of Surgeons 234(1): 32-46.
Applying Genome-wide CRISPR to Identify Known and Novel Genes and Pathways that Modulate Formaldehyde Toxicity. Zhao, Y., Wei, L., Tagmount, A., Loguinov, A., Sobh, A., Hubbard, A., McHale, C.M.,Chang, C.J., Vulpe, C.D. and Zhang, L.(2021). Chemosphere 26(9): 128701.
Exposure to arsenic at different life-stages and DNA methylation meta-analysis in buccal cells and leukocytes. (2021). Bozack, A.K., Boileau, P., Wei, L., Hubbard, A.E., Sillé, F.C.M., Ferreccio, C., Acevedo, J., Hou, L., Ilievski, V., Steinmaus, C.M., Smith, M.T., Navas-Acien, A., Gamble, M.V. and Cardenas, A. Environmental Health 20(1): 1-18.
** Co-first authorship
* Corresponding authorship
Awards
Student Paper Award, ICSA Applied Statistics Symposium, 2023
Student Poster Award, Workshop on "Modern Statistical and Machine Learning Methods for Big Data", 2022
Student Paper Award, ASA Nonparametric Statistics Section, 2022
Best Presentation Award, ASA Nonparametric Statistics Section, 2022
JSM Student Travel Award, SF Bay Area Chapter of the ASA, 2019