Selected Published Papers
Causal inference with network data
- Lee, Y., Buchanan, A.L., Ogburn, E.L., Friedman, S.R., Halloran, M.E., Katenka, N.V., Wu, J., & Nikolopoulos, G. (2023). Finding influential subjects in a network using a causal framework. Biometrics, 79(4), 3715-3727 [url]
- Ogburn, E. L., Shpitser, I., & Lee, Y. (2020). Causal inference, social networks and chain graphs. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(4), 1659-1676. [url]
- Zhao, A., Lee, Y., Small, D. S., & Karmakar, B. (2022). Evidence factors from multiple, possibly invalid, instrumental variables. The Annals of Statistics, 50(3), 1266-1296. [url]
- Lee, Y., Reese, P.P., & Schaubel, D.E. (2024). Prognostic score-based methods for estimating center effects based on survival probability: Application to post-kidney transplant survival. (Accepted for publication at Statistics in Medicine). [url]
- Lee, Y., & Schaubel, D.E. (2022). Facility profiling under competing risks using multivariate prognostic scores: Application to kidney transplant centers. Statistical Methods in Medical Research, 31(3), 563-575. [url]
- Lee, Y., Kennedy, E. H., & Mitra, N. (2023). Doubly robust nonparametric instrumental variable estimators for survival outcomes. Biostatistics, 24(2), 518-537. [url]
- Lee, Y., & Ogburn, E. L. (2021). Network dependence can lead to spurious associations and invalid inference. Journal of the American Statistical Association, 1-15. [url]
- 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. [url]