A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data T Choi, S Choi Journal of Statistical Computation and Simulation 91 (16), 3385-3403, 2021 | 9 | 2021 |
Weighted least‐squares regression with competing risks data S Choi, T Choi, H Cho, D Bandyopadhyay Statistics in Medicine 41 (2), 227-241, 2022 | 7 | 2022 |
Semiparametric least-squares regression with doubly-censored data T Choi, AKH Kim, S Choi Computational Statistics & Data Analysis 164, 107306, 2021 | 6 | 2021 |
Regularized linear censored quantile regression M Son, T Choi, SJ Shin, Y Jung, S Choi Journal of the Korean Statistical Society, 1-19, 2021 | 3 | 2021 |
Accountable survival contrast-learning for optimal dynamic treatment regimes T Choi, H Lee, S Choi Scientific reports 13 (1), 2250, 2023 | 2 | 2023 |
Interval-censored linear quantile regression T Choi, S Park, H Cho, S Choi Journal of Computational and Graphical Statistics, 1-23, 2024 | 1 | 2024 |
Censored broken adaptive ridge regression in high-dimension J Lee, T Choi, S Choi Computational Statistics, 1-26, 2024 | 1 | 2024 |
Doubly‐robust methods for differences in restricted mean lifetimes using pseudo‐observations S Choi, T Choi, HY Lee, SW Han, D Bandyopadhyay Pharmaceutical Statistics 21 (6), 1185-1198, 2022 | 1 | 2022 |
Inverse‐Weighted Quantile Regression With Partially Interval‐Censored Data Y Kim, T Choi, S Park, S Choi, D Bandyopadhyay Biometrical Journal 66 (8), e70001, 2024 | | 2024 |
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression H Lee, J Lee, T Choi, J Kang, S Choi European Conference on Artificial Intelligence (ECAI) 2023 372, 1340-1347, 2023 | | 2023 |
Exploring modern machine learning methods to improve causal-effect estimation Y Kim, T Choi, S Choi Communications for Statistical Applications and Methods 29 (2), 177-191, 2022 | | 2022 |