| Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare J Feng, RV Phillips, I Malenica, A Bishara, AE Hubbard, LA Celi, ... npj Digital Medicine 5 (1), 66, 2022 | 119 | 2022 |
| sl3: modern pipelines for machine learning and super learning JR Coyle, NS Hejazi, I Malenica, RV Phillips, O Sofrygin R package version 1 (2), 2021 | 43 | 2021 |
| Practical considerations for specifying a super learner RV Phillips, MJ van der Laan, H Lee, S Gruber arXiv preprint arXiv:2204.06139, 2022 | 42 | 2022 |
| Epigenetic aging biomarkers and occupational exposure to benzene, trichloroethylene and formaldehyde L Van der Laan, A Cardenas, R Vermeulen, RP Fadadu, AE Hubbard, ... Environment International 158, 106871, 2022 | 29 | 2022 |
| Human exposure to trichloroethylene is associated with increased variability of blood DNA methylation that is enriched in genes and pathways related to autoimmune disease and … RV Phillips, L Rieswijk, AE Hubbard, R Vermeulen, J Zhang, W Hu, L Li, ... Epigenetics 14 (11), 1112-1124, 2019 | 25 | 2019 |
| Differences in clinical deterioration among three sub-phenotypes of COVID-19 patients at the time of first positive test: results from a clustering analysis Intensive care medicine 47 (1), 113-115, 2021 | 17 | 2021 |
| Targeted learning: toward a future informed by real-world evidence S Gruber, RV Phillips, H Lee, M Ho, J Concato, MJ van der Laan Statistics in Biopharmaceutical Research 16 (1), 11-25, 2024 | 15 | 2024 |
| Developing a targeted learning-based statistical analysis plan S Gruber, H Lee, R Phillips, M Ho, M van der Laan Statistics in Biopharmaceutical Research 15 (3), 468-475, 2023 | 13 | 2023 |
| Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability–Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects S Gruber, RV Phillips, H Lee, MJ van der Laan American Journal of Epidemiology 191 (9), 1640-1651, 2022 | 13 | 2022 |
| Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digital Medicine 2022; 5: 66 J Feng, RV Phillips, I Malenica, A Bishara, AE Hubbard, LA Celi, ... | 12 | |
| Chronic arsenic exposure impairs adaptive thermogenesis in male C57BL/6J mice F Castriota, PJH Zushin, SS Sanchez, RV Phillips, A Hubbard, A Stahl, ... American Journal of Physiology-Endocrinology and Metabolism 318 (5), E667-E677, 2020 | 11 | 2020 |
| Epigenome-wide association studies of occupational exposure to benzene and formaldehyde RV Phillips, L Wei, A Cardenas, AE Hubbard, CM McHale, R Vermeulen, ... Epigenetics 17 (13), 2259-2277, 2022 | 10 | 2022 |
| Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review MJ Smith, RV Phillips, MA Luque-Fernandez, C Maringe Annals of Epidemiology, 2023 | 8 | 2023 |
| Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials H Li, S Rosete, J Coyle, RV Phillips, NS Hejazi, I Malenica, BF Arnold, ... Statistics in Medicine 41 (12), 2132-2165, 2022 | 8 | 2022 |
| sl3: Modern Pipelines for Machine Learning and Super Learning. 2020 J Coyle, N Hejazi, I Malenica, O Sofrygin, R Phillips URL https://doi. org/10.5281/zenodo 1342293, 2020 | 8 | 2020 |
| Targeted Learning in R: Causal Data Science With the tlverse Software Ecosystem M van der Laan, J Coyle, N Hejazi, I Malenica, RV Phillips, AE Hubbard | 7 | 2020 |
| hal9001: The scalable highly adaptive lasso, 2022 JR Coyle, NS Hejazi, RV Phillips, LWP van der Laan, MJ van der Laan URL https://doi. org/10.5281/zenodo 3558313, 0 | 7 | |
| Targeting Learning: Robust Statistics for Reproducible Research JR Coyle, NS Hejazi, I Malenica, RV Phillips, BF Arnold, A Mertens, ... arXiv preprint arXiv:2006.07333, 2020 | 5 | 2020 |
| Targeted Learning JR Coyle, NS Hejazi, I Malenica, RV Phillips, BF Arnold, A Mertens, ... Wiley StatsRef: Statistics Reference Online, 1-20, 2023 | 4* | 2023 |
| sl3: Pipelines for Machine Learning and Super Learning, 2022 J Coyle, N Hejazi, I Malenica, RV Phillips, O Sofrygin URL https://github. com/tlverse/sl3. R package version 1 (2), 0 | 4 | |
Alan HUBBARDDivision of Biostatistics, University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
