| Association between the Medicare hospice benefit and health care utilization and costs for patients with poor-prognosis cancer Z Obermeyer, M Makar, S Abujaber, F Dominici, S Block, DM Cutler Jama 312 (18), 1888-1896, 2014 | 299 | 2014 |
| Emergency care in 59 low-and middle-income countries: a systematic review Z Obermeyer, S Abujaber, M Makar, S Stoll, SR Kayden, LA Wallis, ... Bulletin of the World Health Organization 93, 577-586, 2015 | 292 | 2015 |
| A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers J Oh, M Makar, C Fusco, R McCaffrey, K Rao, EE Ryan, L Washer, ... infection control & hospital epidemiology 39 (4), 425-433, 2018 | 129 | 2018 |
| Estimating the causal effect of low levels of fine particulate matter on hospitalization M Makar, J Antonelli, Q Di, D Cutler, J Schwartz, F Dominici Epidemiology 28 (5), 627-634, 2017 | 102 | 2017 |
| Physician characteristics strongly predict patient enrollment in hospice Z Obermeyer, BW Powers, M Makar, NL Keating, DM Cutler Health affairs 34 (6), 993-1000, 2015 | 99 | 2015 |
| Short-term mortality prediction for elderly patients using medicare claims data M Makar, M Ghassemi, DM Cutler, Z Obermeyer International journal of machine learning and computing 5 (3), 192, 2015 | 71 | 2015 |
| Causally motivated shortcut removal using auxiliary labels M Makar, B Packer, D Moldovan, D Blalock, Y Halpern, A D’Amour International Conference on Artificial Intelligence and Statistics, 739-766, 2022 | 61 | 2022 |
| Emergency care use and the Medicare hospice benefit for individuals with cancer with a poor prognosis Z Obermeyer, AC Clarke, M Makar, JD Schuur, DM Cutler Journal of the American Geriatrics Society 64 (2), 323-329, 2016 | 33 | 2016 |
| Leveraging factored action spaces for efficient offline reinforcement learning in healthcare S Tang, M Makar, M Sjoding, F Doshi-Velez, J Wiens Advances in Neural Information Processing Systems 35, 34272-34286, 2022 | 26 | 2022 |
| Learning the Probability of Activation in the Presence of Latent Spreaders M Makar, J Guttag, J Wiens AAAI-18, 2018 | 19 | 2018 |
| A distillation approach to data efficient individual treatment effect estimation M Makar, A Swaminathan, E Kıcıman Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4544-4551, 2019 | 15 | 2019 |
| Cost savings associated with expanded hospice use in Medicare BW Powers, M Makar, SH Jain, DM Cutler, Z Obermeyer Journal of palliative medicine 18 (5), 400, 2015 | 15 | 2015 |
| Estimation of Bounds on Potential Outcomes For Decision Making M Makar, F Johansson, J Guttag, D Sontag International Conference on Machine Learning, 2020 | 13 | 2020 |
| Laraine Washer, Lauren R West, Vincent B Young, John Guttag, et al. A generalizable, data-driven approach to predict daily risk of clostridium difficile infection at two large … J Oh, M Makar, C Fusco, R McCaffrey, K Rao, EE Ryan Infection Control & Hospital Epidemiology (ICHE) 39 (4), 425-433, 2018 | 12 | 2018 |
| Impact of a dedicated palliative radiation oncology service on the use of single fraction and hypofractionated radiation therapy among patients with bone metastases S Skamene, I Agarwal, M Makar, M Krishnan, A Spektor, L Hertan, ... Annals of Palliative Medicine 7 (2), 18691-18191, 2018 | 10 | 2018 |
| Fairness and robustness in anti-causal prediction M Makar, A D'Amour Transactions on Machine Learning Research, 2022 | 9 | 2022 |
| Offline policy evaluation and optimization under confounding C Kausik, Y Lu, K Tan, M Makar, Y Wang, A Tewari International Conference on Artificial Intelligence and Statistics, 1459-1467, 2024 | 5 | 2024 |
| Causally motivated multi-shortcut identification and removal J Zheng, M Makar Advances in Neural Information Processing Systems 35, 12800-12812, 2022 | 4 | 2022 |
| Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers M Kamineni, E Ötleş, J Oh, K Rao, VB Young, BY Li, LR West, DC Hooper, ... Infection Control & Hospital Epidemiology 44 (7), 1163-1166, 2023 | 3 | 2023 |
| Learning concept credible models for mitigating shortcuts J Wang, S Jabbour, M Makar, M Sjoding, J Wiens Advances in neural information processing systems 35, 33343-33356, 2022 | 3 | 2022 |
David CutlerOtto Eckstein Professor of Applied Economics, Harvard University在 harvard.edu 的电子邮件经过验证
