| The knockoff filter for FDR control in group-sparse and multitask regression R Dai, R Barber International Conference on Machine Learning, 1851-1859, 2016 | 64 | 2016 |
| Target-based identification of whole-cell active inhibitors of biotin biosynthesis in Mycobacterium tuberculosis SW Park, DE Casalena, DJ Wilson, R Dai, PP Nag, F Liu, JP Boyce, ... Chemistry & biology 22 (1), 76-86, 2015 | 61 | 2015 |
| Inhibition of Mycobacterium tuberculosis transaminase BioA by aryl hydrazines and hydrazides R Dai, DJ Wilson, TW Geders, CC Aldrich, BC Finzel ChemBioChem 15 (4), 575-586, 2014 | 56 | 2014 |
| COVID-19 in solid organ transplantation: results of the national COVID cohort collaborative AJ Vinson, G Agarwal, R Dai, AJ Anzalone, SB Lee, E French, A Olex, ... Transplantation direct 7 (11), e775, 2021 | 42 | 2021 |
| Fragment-based Exploration of Binding Site Flexibility in Mycobacterium tuberculosis BioA R Dai, TW Geders, F Liu, SW Park, D Schnappinger, CC Aldrich, ... Journal of medicinal chemistry 58 (13), 5208-5217, 2015 | 42 | 2015 |
| Structure-based optimization of pyridoxal 5′-phosphate-dependent transaminase enzyme (BioA) inhibitors that target biotin biosynthesis in Mycobacterium tuberculosis F Liu, S Dawadi, KM Maize, R Dai, SW Park, D Schnappinger, BC Finzel, ... Journal of medicinal chemistry 60 (13), 5507-5520, 2017 | 39 | 2017 |
| Instrumental variable with competing risk model C Zheng, R Dai, PN Hari, MJ Zhang Statistics in medicine 36 (8), 1240-1255, 2017 | 29 | 2017 |
| The risk and consequences of breakthrough SARS-CoV-2 infection in solid organ transplant recipients relative to non-immunosuppressed controls AJ Vinson, AJ Anzalone, J Sun, R Dai, G Agarwal, SB Lee, E French, ... American Journal of Transplantation 22 (10), 2418-2432, 2022 | 20 | 2022 |
| Causal inference in randomized clinical trials C Zheng, R Dai, RP Gale, MJ Zhang Bone marrow transplantation 55 (1), 4-8, 2020 | 19 | 2020 |
| The bias of isotonic regression R Dai, H Song, RF Barber, G Raskutti Electronic Journal of Statistics 14 (1), 801-834, 2020 | 15 | 2020 |
| Sex and organ‐specific risk of major adverse renal or cardiac events in solid organ transplant recipients with COVID‐19 AJ Vinson, R Dai, G Agarwal, AJ Anzalone, SB Lee, E French, AL Olex, ... American Journal of Transplantation 22 (1), 245-259, 2022 | 12 | 2022 |
| Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels H Song, R Dai, G Raskutti, RF Barber Journal of Machine Learning Research 21 (168), 1-58, 2020 | 9 | 2020 |
| A downcore increase in time averaging is the null expectation from the transit of death assemblages through a mixed layer A Tomašových, SM Kidwell, R Dai Paleobiology 49 (3), 527-562, 2023 | 5 | 2023 |
| National COVID Cohort Collaborative (N3C) Consortium AJ Vinson, R Dai, G Agarwal, AJ Anzalone, SB Lee, E French, AL Olex, ... Sex and organ-specific risk of major adverse renal or cardiac events in …, 2022 | 5 | 2022 |
| Inference for high-dimensional varying-coefficient quantile regression R Dai, M Kolar Electronic Journal of Statistics 15 (2), 5696-5757, 2021 | 5* | 2021 |
| Initial experience with an electron FLASH research extension (FLEX) for the Clinac system K Oh, KJ Gallagher, M Hyun, D Schott, S Wisnoskie, Y Lei, S Hendley, ... Journal of applied clinical medical physics 25 (2), e14159, 2024 | 3 | 2024 |
| Discovery of small molecule probe that shows anti-tubercular activity via Mtb bioA (DAPA synthase) enzyme inhibition D Casalena, PP Nag, SW Park, D Wilson, R Edwankar, S Johnston, H Le, ... Probe Reports from the NIH Molecular Libraries Program [Internet], 2015 | 3 | 2015 |
| False discovery rate‐controlled multiple testing for union null hypotheses: a knockoff‐based approach R Dai, C Zheng Biometrics 79, 3497-3509, 2023 | 2 | 2023 |
| COVID-19 in solid organ transplantation (SOT): Results of the national covid cohort collaborative (N3C) G Agarwal, A Vinson, R Dai, E French, S Lee, A Olex, A Anzalone, ... American Journal of Transplantation, 354-354, 2021 | 2 | 2021 |
| Using simultaneous regression calibration to study the effect of multiple error-prone exposures on disease risk utilizing biomarkers developed from a controlled feeding study Y Zhang, R Dai, Y Huang, R Prentice, C Zheng The Annals of Applied Statistics 18 (1), 125-143, 2024 | 1 | 2024 |
