Research Interests : Causal inference, Social networks, Instrumental variable, Multilevel data, Interference.

Published Papers 

• Ogburn, E. L., Shpitser, I., & Lee, Y. (2020). Causal inference, social networks, and chain graphs. To appear at Journal of the Royal Statistical Society: Series A (Statistics in Society).
• Lee, Y., & Ogburn, E. L. (2020). Network Dependence Can Lead to Spurious Associations and Invalid Inference. Journal of the American Statistical Association, 1-15.
• Lee, Y. & Ogburn, E. L. (2020). Testing for Network and Spatial Autocorrelation. In International Conference on Network Science (pp. 91-104). Springer, Cham.
• Lee, Y., Shen, C., Priebe, C.E., &  Vogelstein, J.T. (2019).  Network Dependence Testing via Diffusion Maps and Distance-Based Correlations. Biometrika, 106(4), 857-873..
• Lee, Y., Wang, M. C., Grantz, K. L., & Sundaram, R. (2019). Joint modelling of competing risks and current status data: an application to a spontaneous labour study. Journal of the Royal Statistical Society: Series C (Applied Statistics)

Working Papers

• Lee, Y., Nguyen, T. Q., & Stuart, E. A. (2019). Partially pooled propensity score models for average treatment effect estimation with multilevel data. arXiv preprint arXiv:1910.05600.
• Kang, H., Lee, Y., Cai, T. T., & Small, D. S. (2020). Two Robust Tools for Inference about Causal Effects with Invalid Instruments. arXiv preprint arXiv:2006.01393.
• Lee, Y., Kennedy, E. H., & Mitra. N. (2020). Doubly Robust Nonparametric Instrumental Variable Estimators for Survival Outcomes. arXiv preprint arXiv:2007.12973.
• Lee, Y. & Schaubel, D. E. (2020). Facility profiling under competing risks using multivariate prognostic scores: Application to kidney transplant centers. 

I am currently working on evidence factor analysis with multiple instrumental variables and facility profiling methods for survival outcomes.

Doctoral Thesis

Click here for my doctoral dissertation.