| One-step weighting to generalize and transport treatment effect estimates to a target population A Chattopadhyay, ER Cohn, JR Zubizarreta The American Statistician 78 (3), 280-289, 2024 | 13 | 2024 |
| Profile matching for the generalization and personalization of causal inferences ER Cohn, JR Zubizarreta Epidemiology 33 (5), 678-688, 2022 | 12 | 2022 |
| Sample size considerations for micro‐randomized trials with binary proximal outcomes ER Cohn, T Qian, SA Murphy Statistics in medicine 42 (16), 2777-2796, 2023 | 5 | 2023 |
| Balancing weights for causal inference ER Cohn, E Ben-Michael, A Feller, JR Zubizarreta Handbook of Matching and Weighting Adjustments for Causal Inference, 293-312, 2023 | 3 | 2023 |
| Statistical designs for developing personalized mobile treatment interventions T Qian, E Cohn, SA Murphy Digital Therapeutics, 99-120, 2022 | 3 | 2022 |
| Statistical Methods for the Study of Effect Modification and Spatial Causal Inference: Theory and Applications ER Cohn Harvard University, 2024 | | 2024 |
| Risk Set Matched Difference-in-Differences for the Analysis of Effect Modification in an Observational Study on the Impact of Gun Violence on Health Outcomes ER Cohn, Z Song, JR Zubizarreta arXiv preprint arXiv:2305.04143, 2023 | | 2023 |
