Published Papers 

• Lee, Y. & Ogburn, E. L. (2020). Network Dependence and Confounding by Network Structure Lead to Invalid Inference. arXiv preprint arXiv:1908.00520 (To appear at Journal of the American Statistical Association).
• 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, CE., &  Vogelstein, J.T. (2019).  Network Dependence Testing via Diffusion Maps and Distance-Based Correlations. Biometrika.
• 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

• Ogburn, E. L., Shpitser, I., & Lee, Y. (2018). Causal inference, social networks, and chain graphs. arXiv preprint arXiv:1812.04990.
• Lee, Y., Nguyen, T. Q., & Stuart, E. A. 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.
• Lee, Y., Kennedy, E. H., & Mitra. N. (2020+). Nonparametric instrumental variable estimators for survival outcomes.
• Lee, Y. & Schaubel, D. E. (2020+). Facility profiling under competing risks using multivariate prognostic scores: an application to the national kidney transplant centers. 

Doctoral Thesis

Click here for my doctoral dissertation.