| Causal inference, social networks and chain graphs EL Ogburn, I Shpitser, Y Lee Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020 | 52 | 2020 |
| Network dependence can lead to spurious associations and invalid inference Y Lee, EL Ogburn Journal of the American Statistical Association 116 (535), 1060-1074, 2021 | 49 | 2021 |
| Network dependence testing via diffusion maps and distance-based correlations Y Lee, C Shen, CE Priebe, JT Vogelstein Biometrika 106 (4), 857-873, 2019 | 25 | 2019 |
| Partially pooled propensity score models for average treatment effect estimation with multilevel data Y Lee, TQ Nguyen, EA Stuart Journal of the Royal Statistical Society Series A: Statistics in Society 184 …, 2021 | 20 | 2021 |
| Two robust tools for inference about causal effects with invalid instruments H Kang, Y Lee, TT Cai, DS Small Biometrics 78 (1), 24-34, 2022 | 16 | 2022 |
| Doubly robust nonparametric instrumental variable estimators for survival outcomes Y Lee, EH Kennedy, N Mitra Biostatistics 24 (2), 518-537, 2023 | 12 | 2023 |
| Testing for Network and Spatial Autocorrelation Y Lee, EL Ogburn Proceedings of NetSci-X 2020: Sixth International Winter School and …, 2020 | 9 | 2020 |
| Network dependence and confounding by network structure lead to invalid inference Y Lee, EL Ogburn arXiv preprint ArXiv:1908.00520, 2019 | 8 | 2019 |
| Flexible propensity score estimation strategies for clustered data in observational studies TH Chang, TQ Nguyen, Y Lee, JW Jackson, EA Stuart Statistics in medicine 41 (25), 5016-5032, 2022 | 7 | 2022 |
| Evidence factors from multiple, possibly invalid, instrumental variables A Zhao, Y Lee, DS Small, B Karmakar The Annals of Statistics 50 (3), 1266-1296, 2022 | 5 | 2022 |
| Calculating risk and prevalence ratios and differences in R: developing intuition with a hands-on tutorial and code RR Yorlets, Y Lee, JR Gantenberg Annals of Epidemiology 86, 104-109, 2023 | 2 | 2023 |
| Estimation of Policy-Relevant Causal Effects in the Presence of Interference With an Application to the Philadelphia Beverage Tax G Hettinger, C Roberto, Y Lee, N Mitra arXiv preprint arXiv:2301.06697, 2023 | 2 | 2023 |
| Finding influential subjects in a network using a causal framework Y Lee, AL Buchanan, EL Ogburn, SR Friedman, ME Halloran, NV Katenka, ... Biometrics 79 (4), 3715-3727, 2023 | 1 | 2023 |
| Methods for assessing Spillover in network-based studies of HIV/AIDS prevention among people who use drugs AL Buchanan, N Katenka, Y Lee, J Wu, K Pantavou, SR Friedman, ... Pathogens 12 (2), 326, 2023 | 1 | 2023 |
| Robustiv and controlfunctioniv: Causal inference for linear and nonlinear models with invalid instrumental variables T Koo, Y Lee, DS Small, Z Guo Observational Studies 9 (4), 97-120, 2023 | 1 | 2023 |
| Partnering with Authors to Enhance Reproducibility at JASA J Wrobel, EC Hector, L Crawford, LDA McGowan, N da Silva, J Goldsmith, ... Journal of the American Statistical Association, 1-6, 2024 | | 2024 |
| Multiply Robust Estimation of Causal Effect Curves for Difference-in-Differences Designs G Hettinger, Y Lee, N Mitra arXiv preprint arXiv:2401.14355, 2024 | | 2024 |
| Statistical and Causal Robustness for Causal Null Hypothesis Tests J Yang, R Bhattacharya, Y Lee, T Westling arXiv preprint arXiv:2310.10393, 2023 | | 2023 |
| Policy effect evaluation under counterfactual neighborhood interventions in the presence of spillover Y Lee, G Hettinger, N Mitra arXiv preprint arXiv:2303.06227, 2023 | | 2023 |
| Facility profiling under competing risks using multivariate prognostic scores: Application to kidneytransplant centers Y Lee, DE Schaubel Statistical Methods in Medical Research 31 (3), 563-575, 2022 | | 2022 |
