Yingqi Zhao
Title
Cited by
Cited by
Year
Estimating individualized treatment rules using outcome weighted learning
Y Zhao, D Zeng, AJ Rush, MR Kosorok
Journal of the American Statistical Association 107 (499), 1106-1118, 2012
5342012
New statistical learning methods for estimating optimal dynamic treatment regimes
YQ Zhao, D Zeng, EB Laber, MR Kosorok
Journal of the American Statistical Association 110 (510), 583-598, 2015
1862015
Tree-based methods for individualized treatment regimes
EB Laber, YQ Zhao
Biometrika 102 (3), 501-514, 2015
1222015
Doubly robust learning for estimating individualized treatment with censored data
YQ Zhao, D Zeng, EB Laber, R Song, M Yuan, MR Kosorok
Biometrika 102 (1), 151-168, 2015
1072015
Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m‐Out‐of‐n Bootstrap Scheme
B Chakraborty, EB Laber, Y Zhao
Biometrics 69 (3), 714-723, 2013
902013
Regularized outcome weighted subgroup identification for differential treatment effects
Y Xu, M Yu, YQ Zhao, Q Li, S Wang, J Shao
Biometrics 71 (3), 645-653, 2015
672015
Electronic health records and community health surveillance of childhood obesity
TL Flood, YQ Zhao, EJ Tomayko, A Tandias, AL Carrel, LP Hanrahan
American journal of preventive medicine 48 (2), 234-240, 2015
412015
Inference about the expected performance of a data-driven dynamic treatment regime
B Chakraborty, EB Laber, YQ Zhao
Clinical Trials 11 (4), 408-417, 2014
402014
Augmented outcome‐weighted learning for estimating optimal dynamic treatment regimens
Y Liu, Y Wang, MR Kosorok, Y Zhao, D Zeng
Statistics in medicine 37 (26), 3776-3788, 2018
332018
Robust hybrid learning for estimating personalized dynamic treatment regimens
Y Liu, Y Wang, MR Kosorok, Y Zhao, D Zeng
arXiv preprint arXiv:1611.02314, 2016
322016
Body image dissatisfaction in patients with inflammatory bowel disease
S Saha, YQ Zhao, SA Shah, SD Esposti, S Lidofsky, R Bright, M Law, ...
Inflammatory bowel diseases 21 (2), 345-352, 2015
322015
On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning
R Song, M Kosorok, D Zeng, Y Zhao, E Laber, M Yuan
Stat 4 (1), 59-68, 2015
302015
Efficient augmentation and relaxation learning for individualized treatment rules using observational data.
YQ Zhao, EB Laber, Y Ning, S Saha, BE Sands
J. Mach. Learn. Res. 20, 48:1-48:23, 2019
282019
Greedy outcome weighted tree learning of optimal personalized treatment rules
R Zhu, YQ Zhao, G Chen, S Ma, H Zhao
Biometrics 73 (2), 391-400, 2017
282017
Using pilot data to size a two‐arm randomized trial to find a nearly optimal personalized treatment strategy
EB Laber, YQ Zhao, T Regh, M Davidian, A Tsiatis, JB Stanford, D Zeng, ...
Statistics in medicine 35 (8), 1245-1256, 2016
252016
Menstrual cycle changes in women with inflammatory bowel disease: a study from the ocean state Crohn's and colitis area registry
S Saha, YQ Zhao, SA Shah, SD Esposti, S Lidofsky, S Salih, R Bright, ...
Inflammatory bowel diseases 20 (3), 534-540, 2014
242014
Recent development on statistical methods for personalized medicine discovery
Y Zhao, D Zeng
Frontiers of medicine 7 (1), 102-110, 2013
222013
Estimation of optimal dynamic treatment regimes
YQ Zhao, EB Laber
Clinical Trials 11 (4), 400-407, 2014
212014
Active clinical trials for personalized medicine
S Minsker, YQ Zhao, G Cheng
Journal of the American Statistical Association 111 (514), 875-887, 2016
132016
Inverse regression estimation for censored data
NV Nadkarni, Y Zhao, MR Kosorok
Journal of the American Statistical Association 106 (493), 178-190, 2011
132011
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Articles 1–20