Selected Published Papers
- 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. Accepted for publication at Biometrics. [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., & 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. (2021). Doubly Robust Nonparametric Instrumental Variable Estimators for Survival Outcomes. Accepted for publication at Biostatistics. [url]
- Lee, Y., Nguyen, T.Q., & Stuart, E.A. (2021). Partially Pooled Propensity Score Models for Average Treatment Effect Estimation with Multilevel Data. Journal of the Royal Statistical Society: Series A (Statistics in Society). [url]
- Kang, H., Lee, Y., Cai, T. T., & Small, D. S. (2022). Two robust tools for inference about causal effects with invalid instruments. Biometrics, 78(1), 24-34. [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]
- 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]
- 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), 68(4), 1167-1182. [url]