| Efficacy of corneal collagen cross-linking for the treatment of keratoconus: a systematic review and meta-analysis Z Meiri, S Keren, A Rosenblatt, T Sarig, L Shenhav, D Varssano Cornea 35 (3), 417-428, 2016 | 138 | 2016 |
| Subcutaneous compared with intraperitoneal ketamine–xylazine for anesthesia of mice M Levin-Arama, L Abraham, T Waner, A Harmelin, DM Steinberg, T Lahav, ... Journal of the American Association for Laboratory Animal Science 55 (6 …, 2016 | 91 | 2016 |
| Weights and methodology brief for the COVID-19 symptom survey by University of Maryland and Carnegie Mellon University, in partnership with Facebook N Barkay, C Cobb, R Eilat, T Galili, D Haimovich, S LaRocca, K Morris, ... arXiv preprint arXiv:2009.14675, 2020 | 58 | 2020 |
| Partnering with a global platform to inform research and public policy making: What needs to be in place to make a global COVID-19 survey work? F Kreuter, N Barkay, A Bilinski, A Bradford, S Chiu, R Eliat, J Fan, T Galili, ... Survey Research Methods 14 (2), 159-163, 2020 | 50 | 2020 |
| Addressing reproducibility in single-laboratory phenotyping experiments N Kafkafi, I Golani, I Jaljuli, H Morgan, T Sarig, H Würbel, S Yaacoby, ... Nature methods 14 (5), 462-464, 2017 | 50 | 2017 |
| Partnering with Facebook on a university-based rapid turn-around global survey F Kreuter, N Barkay, A Bilinski, A Bradford, S Chiu, R Eliat, J Fan, T Galili, ... Survey Research Methods: SRM 14 (2), 159-163, 2020 | 28 | 2020 |
| Sparse additive regression on a regular lattice F Abramovich, T Lahav Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015 | 10 | 2015 |
| balance--a Python package for balancing biased data samples T Sarig, T Galili, R Eilat arXiv preprint arXiv:2307.06024, 2023 | 6 | 2023 |
| Weights and methodology brief for the COVID-19 symptom survey by University of Maryland and Carnegie Mellon University, in partnership with Facebook. arXiv [Preprint](2020) N Barkay, C Cobb, R Eilat, T Galili, D Haimovich, S LaRocca, K Morris, ... arXiv preprint arXiv:2009.14675, 2021 | | 2021 |
| Statistical Guarantees for Clustering Gaussian Mixture Models with the Expectation-Maximization Algorithm T Sarig Yale University, 2020 | | 2020 |
