| Assessment of a predictive scoring model for dermoscopy of subungual melanoma in situ J Ohn, G Jo, Y Cho, SL Sheu, KH Cho, JH Mun JAMA dermatology 154 (8), 890-896, 2018 | 38 | 2018 |
| Mendelian randomization analysis with survival outcomes Y Cho, A Rau, A Reiner, PL Auer Genetic Epidemiology 45 (1), 16-23, 2021 | 13 | 2021 |
| Multiple chronic conditions and risk of cognitive impairment and dementia among older Americans: findings from the Aging, Demographics, and Memory Study (ADAMS) Y Lee, Y Cho, H Oh Aging, Neuropsychology, and Cognition 28 (4), 493-507, 2021 | 9 | 2021 |
| Developing a predictive model for distinguishing invasive nail unit melanoma from nail unit melanoma in situ J Ohn, K Hur, Y Cho, J Park, JY Kim, SJ Lee, H Park, JH Mun Journal of the European Academy of Dermatology and Venereology 35 (4), 906-911, 2021 | 9 | 2021 |
| Covariate adjustment using propensity scores for dependent censoring problems in the accelerated failure time model Y Cho, C Hu, D Ghosh Statistics in medicine 37 (3), 390-404, 2018 | 6 | 2018 |
| Diagnostic accuracy of dermoscopy for onychomycosis: A systematic review SS Lim, L Hui, J Ohn, Y Cho, CC Oh, JH Mun Frontiers in Medicine 9, 1048913, 2022 | 5 | 2022 |
| Nonlinear predictive directions in clinical trials Y Cho, X Zhan, D Ghosh Computational Statistics & Data Analysis 174, 107476, 2022 | 3 | 2022 |
| Weighted estimation of the accelerated failure time model in the presence of dependent censoring Y Cho, D Ghosh Plos one 10 (4), e0124381, 2015 | 3 | 2015 |
| Refined moderation analysis with categorical outcomes in precision medicine X Su, Y Cho, L Ni, L Liu, E Dusseldorp Statistics in medicine 42 (4), 470-486, 2023 | 2 | 2023 |
| Action Recognition Model to Monitor Illegal Dumping using Zoom-In Image Sequence Data K Ko, H Gwak, E Lee, G Kim, D Moon, Y Cho, SH Kim Quantitative Bio-Science 40 (2), 95-102, 2021 | 2 | 2021 |
| Quantile-based subgroup identification for randomized clinical trials Y Cho, D Ghosh Statistics in Biosciences 13, 90-128, 2021 | 2 | 2021 |
| Regression trees for cumulative incidence functions Y Cho, AM Molinaro, C Hu, RL Strawderman arXiv preprint arXiv:2011.06706, 2020 | 2 | 2020 |
| Analysis of regression discontinuity designs using censored data Y Cho, C Hu, D Ghosh arXiv preprint arXiv:1908.03646, 2019 | 2 | 2019 |
| Regression trees and ensembles for cumulative incidence functions Y Cho, AM Molinaro, C Hu, RL Strawderman The international journal of biostatistics 18 (2), 397-419, 2022 | 1 | 2022 |
| Factors Associated with Opposition to a Vape-Free Campus Policy. SH Gwon, Y Cho, LI Laestadius, Y Wang, HJ Lee Metropolitan Universities 32 (1), 124-145, 2021 | 1 | 2021 |
| Tumor growth rate as a prognostic factor of acral melanoma in a Korean population G Jo, SI Cho, Y Cho, J Ohn, JH Mun Medicine 99 (21), e19936, 2020 | 1 | 2020 |
| Covariate adjustment via propensity scores for recurrent events in the presence of dependent censoring Y Cho, D Ghosh Communications in Statistics - Theory and Methods, 2019 | 1 | 2019 |
| A GENERAL APPROACH TO GOODNESS OF FIT FOR U-PROCESSES Y Cho, D Ghosh Statistica Sinica, 1175-1192, 2017 | 1 | 2017 |
| Regression discontinuity for survival data Y Cho Communications for Statistical Applications and Methods 31 (1), 155-178, 2024 | | 2024 |
| Transporting randomized trial results to estimate counterfactual survival functions in target populations Z Cao, Y Cho, F Li Pharmaceutical Statistics, 2024 | | 2024 |
