Youjin Lee is a Manning Assistant Professor of Biostatistics. Dr. Lee's primary research interest is in the development of statistical and causal inference methods with applications to public health and social science, including instrumental variable methods, longitudinal data analysis, and network analysis.
Dr. Lee is particularly interested in settings where standard assumptions, such as independent observations or no unmeasured confounding assumptions, are violated. She has proposed various statistical and causal methods that remain valid when certain common assumptions are not met. Dr. Lee is currently working on causal inference methods with applications to policy effect evaluation and effective connectivity research.
Hettinger, Gary, Lee, Youjin, Mitra, Nandita. "Multiply robust difference-in-differences estimation of causal effect curves for continuous exposures." Biometrics, vol. 81, no. 1, 2025. |
Lee, Youjin, Hettinger, Gary, Mitra, Nandita. "Policy effect evaluation under counterfactual neighbourhood intervention in the presence of spillover." Journal of the Royal Statistical Society Series A: Statistics in Society, 2025. |
Yorlets RR, Lee Y, Gantenberg JR. "Calculating risk and prevalence ratios and differences in R: Developing intuition with a hands-on tutorial and code." Annals of Epidemiology, vol. 99, 2024, pp. 48-53. |
Lee, Youjin, Tan, Chichun, Karmakar, Bikram. "Constructing multiple, independent analyses in the regression discontinuity design with multiple cutoffs." Observational Studies, vol. 10, no. 2, 2024, pp. 63-91. |
Yorlets RR, Lee Y, Gantenberg JR. "Corrigendum to "Calculating risk and prevalence ratios and differences in R: Developing intuition with a hands-on tutorial and code" [Ann Epidemiol 86 (2023) 104-109]." Annals of Epidemiology, vol. 99, 2024, pp. 47. |
Hettinger, Gary, Roberto, Christina, Lee, Youjin, Mitra, Nandita. "Doubly robust estimation of policy-relevant causal effects under interference." Journal of the Royal Statistical Society Series C: Applied Statistics, vol. 74, no. 2, 2024, pp. 530-549. |
Wilson-Barthes, M., Steingrimsson, J., Lee, Y., Tran, D.N., Wachira, J., Kafu, C., Pastakia, S.D., Vedanthan, R., Said, J.A., Genberg, B.L., Galárraga, O. "Economic outcomes among microfinance group members receiving community-based chronic disease care: Cluster randomized trial evidence from Kenya." Social Science & Medicine, vol. 351, 2024, pp. 116993. |
Lee, Youjin, Reese, Peter P., Tran, Amelia H., Schaubel, Douglas E. "Prognostic score‐based methods for estimating center effects based on survival probability: Application to post‐kidney transplant survival." Statistics in Medicine, vol. 43, no. 16, 2024, pp. 3036-3050. |
Yorlets RR, Lee Y, Gantenberg JR. "Calculating risk and prevalence ratios and differences in R: Developing intuition with a hands-on tutorial and code." Annals of Epidemiology, vol. 86, 2023, pp. 104-109. |
Lee, Youjin, Buchanan, Ashley L., Ogburn, Elizabeth L., Friedman, Samuel R., Halloran, M. Elizabeth, Katenka, Natallia V., Wu, Jing, Nikolopoulos, Georgios K. "Finding Influential Subjects in a Network Using a Causal Framework." Biometrics, vol. 79, no. 4, 2023, pp. 3715-3727. |
Koo, Taehyeon, Lee, Youjin, Small, Dylan S., Guo, Zijian. "RobustIV and controlfunctionIV: Causal Inference for Linear and Nonlinear Models with Invalid Instrumental Variables." Observational Studies, vol. 9, no. 4, 2023, pp. 97-120. |
Zhao, Anqi, Lee, Youjin, Small, Dylan S., Karmakar, Bikram. "Evidence factors from multiple, possibly invalid, instrumental variables." The Annals of Statistics, vol. 50, no. 3, 2022. |
Lee Y, Schaubel DE. "Facility profiling under competing risks using multivariate prognostic scores: Application to kidneytransplant centers." Statistical methods in medical research, vol. 31, no. 3, 2022, pp. 563-575. |
Lee, Youjin, Kennedy, Edward H, Mitra, Nandita. "Doubly robust nonparametric instrumental variable estimators for survival outcomes." Biostatistics, vol. 24, no. 2, 2021, pp. 518-537. |
Lee, Youjin, Nguyen, Trang Q., Stuart, Elizabeth A. "Partially pooled propensity score models for average treatment effect estimation with multilevel data." Journal of the Royal Statistical Society: Series A (Statistics in Society), 2021. |
Ogburn, Elizabeth L., Shpitser, Ilya, Lee, Youjin. "Causal inference, social networks and chain graphs." Journal of the Royal Statistical Society: Series A (Statistics in Society), vol. 183, no. 4, 2020, pp. 1659-1676. |
Lee, Youjin, Ogburn, Elizabeth L. "Network Dependence Can Lead to Spurious Associations and Invalid Inference." Journal of the American Statistical Association, 2020, pp. 1-15. |
Lee, Youjin, Ogburn, Elizabeth L. "Testing for Network and Spatial Autocorrelation." Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science, 2020, pp. 91-104. |
Kang, Hyunseung, Lee, Youjin, Cai, T. Tony, Small, Dylan S. "Two robust tools for inference about causal effects with invalid instruments." Biometrics, 2020. |
Lee, Youjin, Wang, Mei‐Cheng, Grantz, Katherine L., Sundaram, Rajeshwari. "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), vol. 68, no. 4, 2019, pp. 1167-1182. |
Lee, Youjin, Shen, Cencheng, Priebe, Carey E, Vogelstein, Joshua T. "Network dependence testing via diffusion maps and distance-based correlations." Biometrika, vol. 106, no. 4, 2019, pp. 857-873. |
Year | Degree | Institution |
---|---|---|
2019 | PhD | Johns Hopkins University |
2014 | BS | Seoul National University |
Salomon Award Honorable Mention, Brown University, 2025
ASA Outstanding Statistical Application Award, 2020
The Jane and Steve Dykacz Award, Johns Hopkins School of Public Health, 2018
The Margaret Merrell Award, Johns Hopkins School of Public Health, 2018
JSM Student Paper Award (Nonparametric Statistics Section), 2017
Student Poster Award, Conference on Lifetime Data Science, 2017
Louis I. and Thomas D.Dublin Award, Johns Hopkins School of Public Health, 2016
PHP 2580 - Statistical Inference II |
PHP 2610 - Causal Inference and Missing Data |
PHP 2950 - Doctoral Seminar in Public Health |