Year |
Citation |
Score |
2023 |
Li C, Tian Y, Zeng D, Shepherd BE. Asymptotic Properties for Cumulative Probability Models for Continuous Outcomes. Mathematics (Basel, Switzerland). 11. PMID 38374966 DOI: 10.3390/math11244896 |
0.3 |
|
2023 |
Lou J, Wang Y, Li L, Zeng D. Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health records. Statistics and Its Interface. 16: 505-515. PMID 38344146 DOI: 10.4310/22-sii739 |
0.389 |
|
2023 |
Ma H, Zeng D, Liu Y. Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments. Journal of Machine Learning Research : Jmlr. 24. PMID 37588020 |
0.385 |
|
2023 |
Gao D, Liu Y, Zeng D. Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials. Journal of Machine Learning Research : Jmlr. 23. PMID 37576335 |
0.361 |
|
2023 |
Yang S, Gao C, Zeng D, Wang X. Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 85: 575-596. PMID 37521165 DOI: 10.1093/jrsssb/qkad017 |
0.304 |
|
2023 |
Butera NM, Zeng D, Heiss G, Cai J. Modeling longitudinal change in biomarkers using data from a complex survey sampling design: An application to the Hispanic Community Health Study/Study of Latinos. Statistics in Medicine. 42: 632-655. PMID 36631123 DOI: 10.1002/sim.9635 |
0.341 |
|
2022 |
Diao G, Ma H, Zeng D, Ke C, Ibrahim JG. Synthesizing studies for comparing different treatment sequences in clinical trials. Statistics in Medicine. PMID 36005293 DOI: 10.1002/sim.9559 |
0.31 |
|
2022 |
Wang J, Zeng D, Lin DY. Semiparametric single-index models for optimal treatment regimens with censored outcomes. Lifetime Data Analysis. PMID 35939142 DOI: 10.1007/s10985-022-09566-4 |
0.416 |
|
2022 |
Xu T, Chen Y, Zeng D, Wang Y. Self-matched learning to construct treatment decision rules from electronic health records. Statistics in Medicine. PMID 35511090 DOI: 10.1002/sim.9426 |
0.325 |
|
2021 |
Lee D, Yang S, Dong L, Wang X, Zeng D, Cai J. Improving trial generalizability using observational studies. Biometrics. PMID 34862966 DOI: 10.1111/biom.13609 |
0.368 |
|
2021 |
Butera NM, Zeng D, Green Howard A, Gordon-Larsen P, Cai J. A doubly robust method to handle missing multilevel outcome data with application to the China Health and Nutrition Survey. Statistics in Medicine. PMID 34786739 DOI: 10.1002/sim.9260 |
0.305 |
|
2021 |
Chen Y, Zeng D, Wang Y. Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes. Journal of the American Statistical Association. 116: 269-282. PMID 34776561 DOI: 10.1080/01621459.2020.1817751 |
0.336 |
|
2021 |
Zhou W, Zhu R, Zeng D. A parsimonious personalized dose-finding model via dimension reduction. Biometrika. 108: 643-659. PMID 34658383 DOI: 10.1093/biomet/asaa087 |
0.372 |
|
2021 |
Rashid NU, Luckett DJ, Chen J, Lawson MT, Wang L, Zhang Y, Laber EB, Liu Y, Yeh JJ, Zeng D, Kosorok MR. High-Dimensional Precision Medicine From Patient-Derived Xenografts. Journal of the American Statistical Association. 116: 1140-1154. PMID 34548714 DOI: 10.1080/01621459.2020.1828091 |
0.642 |
|
2020 |
Diao G, Liu GF, Zeng D, Zhang Y, Golm G, Heyse JF, Ibrahim JG. Efficient Multiple Imputation for Sensitivity Analysis of Recurrent Events Data with Informative Censoring. Statistics in Biopharmaceutical Research. 14: 153-161. PMID 35601027 DOI: 10.1080/19466315.2020.1819403 |
0.306 |
|
2020 |
Chen Y, Zeng D, Xu T, Wang Y. Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatments. Advances in Neural Information Processing Systems. 33: 17976-17986. PMID 34790021 |
0.33 |
|
2020 |
Wu P, Zeng D, Wang Y. Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records. Journal of the American Statistical Association. 115: 380-392. PMID 33041401 DOI: 10.1080/01621459.2018.1549050 |
0.406 |
|
2020 |
Chen Y, Wang Y, Zeng D. Synthesizing independent stagewise trials for optimal dynamic treatment regimes. Statistics in Medicine. PMID 32804414 DOI: 10.1002/Sim.8712 |
0.389 |
|
2020 |
Wu P, Zeng D, Fu H, Wang Y. On using electronic health records to improve optimal treatment rules in randomized trials. Biometrics. PMID 32365232 DOI: 10.1111/Biom.13288 |
0.36 |
|
2019 |
Zhu W, Zeng D, Song R. Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes. Journal of the American Statistical Association. 114: 1404-1417. PMID 31929664 DOI: 10.1080/01621459.2018.1506341 |
0.384 |
|
2019 |
Jiang B, Song R, Li J, Zeng D. Entropy Learning for Dynamic Treatment Regimes. Statistica Sinica. 29: 1633-1710. PMID 31534307 DOI: 10.5705/Ss.202018.0076 |
0.415 |
|
2019 |
Sun Q, Zhu R, Wang T, Zeng D. Counting process-based dimension reduction methods for censored outcomes. Biometrika. 106: 181-196. PMID 30799878 DOI: 10.1093/Biomet/Asy064 |
0.312 |
|
2018 |
Zhou X, Wang Y, Zeng D. Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options. Proceedings of the ... International Conference On Data Science and Advanced Analytics. Ieee International Conference On Data Science and Advanced Analytics. 2018: 565-574. PMID 30931437 DOI: 10.1109/DSAA.2018.00072 |
0.415 |
|
2018 |
Liu Y, Wang Y, Kosorok MR, Zhao Y, Zeng D. Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens. Statistics in Medicine. PMID 29873099 DOI: 10.1002/Sim.7844 |
0.411 |
|
2017 |
Qiu X, Zeng D, Wang Y. Estimation and evaluation of linear individualized treatment rules to guarantee performance. Biometrics. PMID 28960239 DOI: 10.1111/Biom.12773 |
0.34 |
|
2017 |
Song R, Luo S, Zeng D, Zhang HH, Lu W, Li Z. Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy. Electronic Journal of Statistics. 11: 364-384. PMID 28959371 DOI: 10.1214/17-EJS1226 |
0.402 |
|
2017 |
Diao G, Zeng D, Ibrahim JG, Rong A, Lee O, Zhang K, Chen Q. Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects. Journal of Biopharmaceutical Statistics. 1-12. PMID 28296570 DOI: 10.1080/10543406.2017.1293075 |
0.325 |
|
2017 |
Gao F, Liu G, Zeng D, Diao G, Heyse JF, Ibrahim JG. On inference of control-based imputation for analysis of repeated binary outcomes with missing data. Journal of Biopharmaceutical Statistics. 1-15. PMID 28287873 DOI: 10.1080/10543406.2017.1289957 |
0.343 |
|
2016 |
Wang Y, Wu P, Liu Y, Weng C, Zeng D. Learning Optimal Individualized Treatment Rules from Electronic Health Record Data. Ieee International Conference On Healthcare Informatics . Ieee International Conference On Healthcare Informatics. 2016: 65-71. PMID 28503676 DOI: 10.1109/ICHI.2016.13 |
0.312 |
|
2016 |
Chen G, Zeng D, Kosorok MR. Personalized Dose Finding Using Outcome Weighted Learning. Journal of the American Statistical Association. 111: 1509-1521. PMID 28255189 DOI: 10.1080/01621459.2016.1148611 |
0.329 |
|
2015 |
Cao H, Churpek MM, Zeng D, Fine JP. Analysis of the Proportional Hazards Model with Sparse Longitudinal Covariates. Journal of the American Statistical Association. 110: 1187-1196. PMID 26576066 DOI: 10.1080/01621459.2014.957289 |
0.309 |
|
2015 |
Laber EB, Zhao YQ, Regh T, Davidian M, Tsiatis A, Stanford JB, Zeng D, Song R, Kosorok MR. Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy. Statistics in Medicine. PMID 26506890 DOI: 10.1002/Sim.6783 |
0.635 |
|
2015 |
Zhao YQ, Zeng D, Laber EB, Kosorok MR. New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes. Journal of the American Statistical Association. 110: 583-598. PMID 26236062 DOI: 10.1080/01621459.2014.937488 |
0.623 |
|
2015 |
Choi J, Cai J, Zeng D, Olshan AF. Joint Analysis of Survival Time and Longitudinal Categorical Outcomes. Statistics in Biosciences. 7: 19-47. PMID 26052353 DOI: 10.1007/S12561-013-9091-Z |
0.315 |
|
2015 |
Zhao YQ, Zeng D, Laber EB, Song R, Yuan M, Kosorok MR. Doubly Robust Learning for Estimating Individualized Treatment with Censored Data. Biometrika. 102: 151-168. PMID 25937641 DOI: 10.1093/Biomet/Asu050 |
0.642 |
|
2015 |
Song R, Kosorok M, Zeng D, Zhao Y, Laber E, Yuan M. On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning. Stat. 4: 59-68. PMID 25883393 DOI: 10.1002/sta4.78 |
0.636 |
|
2014 |
Liu Y, Zeng D, Wang Y. Use of personalized Dynamic Treatment Regimes (DTRs) and Sequential Multiple Assignment Randomized Trials (SMARTs) in mental health studies. Shanghai Archives of Psychiatry. 26: 376-83. PMID 25642116 DOI: 10.11919/J.Issn.1002-0829.214172 |
0.386 |
|
2013 |
Chen Q, Zeng D, Ibrahim JG, Akacha M, Schmidli H. Estimating time-varying effects for overdispersed recurrent events data with treatment switching. Biometrika. 100: 339-354. PMID 24465031 DOI: 10.1093/Biomet/Ass091 |
0.314 |
|
2013 |
Zhao Y, Zeng D. Recent development on statistical methods for personalized medicine discovery. Frontiers of Medicine. 7: 102-10. PMID 23377890 DOI: 10.1007/S11684-013-0245-7 |
0.361 |
|
2013 |
Lu W, Zhang HH, Zeng D. Variable selection for optimal treatment decision. Statistical Methods in Medical Research. 22: 493-504. PMID 22116341 DOI: 10.1177/0962280211428383 |
0.347 |
|
2012 |
Zhao Y, Zeng D, Rush AJ, Kosorok MR. Estimating Individualized Treatment Rules Using Outcome Weighted Learning. Journal of the American Statistical Association. 107: 1106-1118. PMID 23630406 DOI: 10.1080/01621459.2012.695674 |
0.448 |
|
2012 |
Zeng D, Chen Q, Chen MH, Ibrahim JG. Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study. Biometrika. 99: 167-184. PMID 23049136 DOI: 10.1093/Biomet/Asr062 |
0.356 |
|
2011 |
Zhao Y, Zeng D, Socinski MA, Kosorok MR. Reinforcement learning strategies for clinical trials in nonsmall cell lung cancer. Biometrics. 67: 1422-33. PMID 21385164 DOI: 10.1111/J.1541-0420.2011.01572.X |
0.323 |
|
2009 |
Zhao Y, Kosorok MR, Zeng D. Reinforcement learning design for cancer clinical trials. Statistics in Medicine. 28: 3294-315. PMID 19750510 DOI: 10.1002/Sim.3720 |
0.363 |
|
2007 |
Zeng D, Lin DY. Efficient estimation for the accelerated failure time model Journal of the American Statistical Association. 102: 1387-1396. DOI: 10.1198/016214507000001085 |
0.308 |
|
2007 |
Chen Q, Zeng D, Ibrahim JG. Sieve maximum likelihood estimation for regression models with covariates missing at random Journal of the American Statistical Association. 102: 1309-1317. DOI: 10.1198/016214507000001058 |
0.329 |
|
2006 |
Zeng D, Yin G, Ibrahim JG. Semiparametric transformation models for survival data with a cure fraction Journal of the American Statistical Association. 101: 670-684. DOI: 10.1198/016214505000001122 |
0.3 |
|
2005 |
Zeng D, Lin DY, Yin G. Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects Journal of the American Statistical Association. 100: 470-483. DOI: 10.1198/016214504000001420 |
0.315 |
|
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