These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
144 related articles for article (PubMed ID: 36104931)
21. Influence Re-weighted G-Estimation. Rich B; Moodie EE; A Stephens D Int J Biostat; 2016 May; 12(1):157-77. PubMed ID: 26234949 [TBL] [Abstract][Full Text] [Related]
22. Enhanced precision in the analysis of randomized trials with ordinal outcomes. Díaz I; Colantuoni E; Rosenblum M Biometrics; 2016 Jun; 72(2):422-31. PubMed ID: 26576013 [TBL] [Abstract][Full Text] [Related]
23. Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options. Zhou X; Wang Y; Zeng D Proc Int Conf Data Sci Adv Anal; 2018 Oct; 2018():565-574. PubMed ID: 30931437 [TBL] [Abstract][Full Text] [Related]
30. A robust outlier control framework for classification designed with family of homotopy loss function. Wang Y; Yang L; Yuan C Neural Netw; 2019 Apr; 112():41-53. PubMed ID: 30753962 [TBL] [Abstract][Full Text] [Related]
31. Ascertaining properties of weighting in the estimation of optimal treatment regimes under monotone missingness. Dong L; Laber E; Goldberg Y; Song R; Yang S Stat Med; 2020 Nov; 39(25):3503-3520. PubMed ID: 32729973 [TBL] [Abstract][Full Text] [Related]
32. Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments. Ma H; Zeng D; Liu Y J Mach Learn Res; 2023; 24():. PubMed ID: 37588020 [TBL] [Abstract][Full Text] [Related]
33. Estimation and evaluation of linear individualized treatment rules to guarantee performance. Qiu X; Zeng D; Wang Y Biometrics; 2018 Jun; 74(2):517-528. PubMed ID: 28960239 [TBL] [Abstract][Full Text] [Related]
34. Doubly Robust Learning for Estimating Individualized Treatment with Censored Data. Zhao YQ; Zeng D; Laber EB; Song R; Yuan M; Kosorok MR Biometrika; 2015 Mar; 102(1):151-168. PubMed ID: 25937641 [TBL] [Abstract][Full Text] [Related]
35. Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification. Li X; Wong KC IEEE Trans Cybern; 2019 May; 49(5):1680-1693. PubMed ID: 29993679 [TBL] [Abstract][Full Text] [Related]
36. An efficient approach for optimizing the cost-effective individualized treatment rule using conditional random forest. Xu Y; Greene TH; Bress AP; Bellows BK; Zhang Y; Zhang Z; Kolm P; Weintraub WS; Moran AS; Shen J Stat Methods Med Res; 2022 Nov; 31(11):2122-2136. PubMed ID: 35912490 [TBL] [Abstract][Full Text] [Related]
37. Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes. Moodie EEM; Coulombe J; Danieli C; Renoux C; Shortreed SM Lifetime Data Anal; 2022 Jul; 28(3):512-542. PubMed ID: 35499604 [TBL] [Abstract][Full Text] [Related]
38. On Robustness of Individualized Decision Rules. Qi Z; Pang JS; Liu Y J Am Stat Assoc; 2023; 118(543):2143-2157. PubMed ID: 38143785 [TBL] [Abstract][Full Text] [Related]
39. Improved doubly robust estimation in learning optimal individualized treatment rules. Pan Y; Zhao YQ J Am Stat Assoc; 2021; 116(533):283-294. PubMed ID: 34024961 [TBL] [Abstract][Full Text] [Related]
40. Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score. Liang M; Choi YG; Ning Y; Smith MA; Zhao YQ J Mach Learn Res; 2022; 23():. PubMed ID: 38098839 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]