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 | 45 | 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 | 40 | 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 | 24 | 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 | 15 | 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 | 14 | 2022 |
Doubly robust nonparametric instrumental variable estimators for survival outcomes Y Lee, EH Kennedy, N Mitra Biostatistics 24 (2), 518-537, 2023 | 10 | 2023 |
Testing for Network and Spatial Autocorrelation Y Lee, EL Ogburn Proceedings of NetSci-X 2020: Sixth International Winter School and …, 2020 | 8 | 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 | 3 | 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 | 3 | 2022 |
Finding influential subjects in a network using a causal framework Y Lee, AL Buchanan, EL Ogburn, SR Friedman, ME Halloran, NV Katenka, ... Biometrics, 2023 | 1 | 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 | 1 | 2023 |
Robustiv and controlfunctioniv: Causal inference for linear and nonlinear models with invalid instrumental variables T Koo, Y Lee, DS Small, Z Guo arXiv preprint arXiv:2301.04412, 2023 | 1 | 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 |
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 | | 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 |
Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R: by Paul Roback and Julie Legler. Boca Raton, FL: Chapman & Hall/CRC Press, 2020 … Y Lee The American Statistician 75 (4), 450-451, 2021 | | 2021 |
Joint modelling of competing risks and current status data: an application to a spontaneous labour study Y Lee, MC Wang, KL Grantz, R Sundaram Journal of the Royal Statistical Society Series C: Applied Statistics 68 (4 …, 2019 | | 2019 |
Statistical Reasoning in Network Data Y Lee The Johns Hopkins University, 2019 | | 2019 |
EVIDENCE FACTORS FROM MULTIPLE, POSSIBLY INVALID, INSTRUMENTAL VARIABLES BY ANQI ZHAO, YOUJIN LEE, DYLAN S. SMALL 3 AND BIKRAM KARMAKAR 4 A ZHAO, Y LEE | | |