230 related articles for article (PubMed ID: 35444116)
1. [Introduction of Oncology Dose-Finding Trial Designs].
Takeda K
Gan To Kagaku Ryoho; 2022 Apr; 49(4):365-370. PubMed ID: 35444116
[TBL] [Abstract][Full Text] [Related]
2. Comparison Between Simultaneous and Sequential Utilization of Safety and Efficacy for Optimal Dose Determination in Bayesian Model-Assisted Designs.
Li R; Takeda K; Rong A
Ther Innov Regul Sci; 2023 Jul; 57(4):728-736. PubMed ID: 37087525
[TBL] [Abstract][Full Text] [Related]
3. A hybrid design for dose-finding oncology clinical trials.
Liao JJZ; Zhou F; Zhou H; Petruzzelli L; Hou K; Asatiani E
Int J Cancer; 2022 Nov; 151(9):1602-1610. PubMed ID: 35802470
[TBL] [Abstract][Full Text] [Related]
4. Improving early phase oncology clinical trial design: The case for finding the optimal biological dose.
Phillips A; Mondal S
Pharm Stat; 2023; 22(4):739-747. PubMed ID: 36669771
[TBL] [Abstract][Full Text] [Related]
5. A Bayesian optimal interval design for dose optimization with a randomization scheme based on pharmacokinetics outcomes in oncology.
Takeda K; Zhu J; Li R; Yamaguchi Y
Pharm Stat; 2023; 22(6):1104-1115. PubMed ID: 37545018
[TBL] [Abstract][Full Text] [Related]
6. TEPI-2 and UBI: designs for optimal immuno-oncology and cell therapy dose finding with toxicity and efficacy.
Li P; Liu R; Lin J; Ji Y
J Biopharm Stat; 2020 Nov; 30(6):979-992. PubMed ID: 32951518
[TBL] [Abstract][Full Text] [Related]
7. TITE-BOIN-ET: Time-to-event Bayesian optimal interval design to accelerate dose-finding based on both efficacy and toxicity outcomes.
Takeda K; Morita S; Taguri M
Pharm Stat; 2020 May; 19(3):335-349. PubMed ID: 31829517
[TBL] [Abstract][Full Text] [Related]
8. BOIN-ET: Bayesian optimal interval design for dose finding based on both efficacy and toxicity outcomes.
Takeda K; Taguri M; Morita S
Pharm Stat; 2018 Jul; 17(4):383-395. PubMed ID: 29700965
[TBL] [Abstract][Full Text] [Related]
9. gBOIN-ET: The generalized Bayesian optimal interval design for optimal dose-finding accounting for ordinal graded efficacy and toxicity in early clinical trials.
Takeda K; Morita S; Taguri M
Biom J; 2022 Oct; 64(7):1178-1191. PubMed ID: 35561046
[TBL] [Abstract][Full Text] [Related]
10. Incorporating historical information to improve dose optimization design with toxicity and efficacy endpoints: iBOIN-ET.
Zhao Y; Liu R; Takeda K
Pharm Stat; 2023; 22(3):440-460. PubMed ID: 36514849
[TBL] [Abstract][Full Text] [Related]
11. Bayesian modeling of a bivariate toxicity outcome for early phase oncology trials evaluating dose regimens.
Gerard E; Zohar S; Lorenzato C; Ursino M; Riviere MK
Stat Med; 2021 Oct; 40(23):5096-5114. PubMed ID: 34259343
[TBL] [Abstract][Full Text] [Related]
12. Novel dose-finding designs and considerations on practical implementations in oncology clinical trials.
Huang B; Bycott P; Talukder E
J Biopharm Stat; 2017; 27(1):44-55. PubMed ID: 26882496
[TBL] [Abstract][Full Text] [Related]
13. Design considerations for phase I/II dose finding clinical trials in Immuno-oncology and cell therapy.
Liu R; Lin J; Li P
Contemp Clin Trials; 2020 Sep; 96():106083. PubMed ID: 32659438
[TBL] [Abstract][Full Text] [Related]
14. Adaptive design for identifying maximum tolerated dose early to accelerate dose-finding trial.
Kojima M
BMC Med Res Methodol; 2022 Apr; 22(1):97. PubMed ID: 35382745
[TBL] [Abstract][Full Text] [Related]
15. A comparative study of adaptive trial designs for dose optimization.
Zhang J; Chen X; Li B; Yan F
Pharm Stat; 2023; 22(5):797-814. PubMed ID: 37156731
[TBL] [Abstract][Full Text] [Related]
16. Optimal phase I dose-escalation trial designs in oncology--a simulation study.
Gerke O; Siedentop H
Stat Med; 2008 Nov; 27(26):5329-44. PubMed ID: 17849502
[TBL] [Abstract][Full Text] [Related]
17. An extended Bayesian semi-mechanistic dose-finding design for phase I oncology trials using pharmacokinetic and pharmacodynamic information.
Yang C; Li Y
Stat Med; 2024 Feb; 43(4):689-705. PubMed ID: 38110304
[TBL] [Abstract][Full Text] [Related]
18. Adaptive Bayesian phase I clinical trial designs for estimating the maximum tolerated doses for two drugs while fully utilizing all toxicity information.
Zhang Y; Kutner M; Chen Z
Biom J; 2021 Oct; 63(7):1476-1492. PubMed ID: 33969525
[TBL] [Abstract][Full Text] [Related]
19. Borrowing historical information to improve phase I clinical trials using meta-analytic-predictive priors.
Chen X; Zhang J; Jiang Q; Yan F
J Biopharm Stat; 2022 Jan; 32(1):34-52. PubMed ID: 35594366
[TBL] [Abstract][Full Text] [Related]
20. Would the Recommended Dose Have Been Different Using Novel Dose-Finding Designs? Comparing Dose-Finding Designs in Published Trials.
Silva RB; Yap C; Carvajal R; Lee SM
JCO Precis Oncol; 2021; 5():. PubMed ID: 34250415
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]