Yuan Ji to Research Design
This is a "connection" page, showing publications Yuan Ji has written about Research Design.
Connection Strength
3.452
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A Multi-Arm Two-Stage (MATS) design for proof-of-concept and dose optimization in early-phase oncology trials. Contemp Clin Trials. 2023 09; 132:107278.
Score: 0.709
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The i3+3 design for phase I clinical trials. J Biopharm Stat. 2020 03; 30(2):294-304.
Score: 0.539
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Toxicity and Efficacy Probability Interval Design for Phase I Adoptive Cell Therapy Dose-Finding Clinical Trials. Clin Cancer Res. 2017 Jan 01; 23(1):13-20.
Score: 0.445
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An integrated dose-finding tool for phase I trials in oncology. Contemp Clin Trials. 2015 Nov; 45(Pt B):426-434.
Score: 0.414
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Modified toxicity probability interval design: a safer and more reliable method than the 3 + 3 design for practical phase I trials. J Clin Oncol. 2013 May 10; 31(14):1785-91.
Score: 0.349
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Adaptive randomization for multiarm comparative clinical trials based on joint efficacy/toxicity outcomes. Biometrics. 2009 Sep; 65(3):876-84.
Score: 0.261
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Bayesian models based on test statistics for multiple hypothesis testing problems. Bioinformatics. 2008 Apr 01; 24(7):943-9.
Score: 0.244
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RoBoT: a robust Bayesian hypothesis testing method for basket trials. Biostatistics. 2021 10 13; 22(4):897-912.
Score: 0.157
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R-TPI: rolling toxicity probability interval design to shorten the duration and maintain safety of phase I trials. J Biopharm Stat. 2019; 29(3):411-424.
Score: 0.131
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A decision-theoretic phase I-II design for ordinal outcomes in two cycles. Biostatistics. 2016 Apr; 17(2):304-19.
Score: 0.104
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Dose-finding in phase I clinical trials based on toxicity probability intervals. Clin Trials. 2007; 4(3):235-44.
Score: 0.056
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A subgroup cluster-based Bayesian adaptive design for precision medicine. Biometrics. 2017 06; 73(2):367-377.
Score: 0.028
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Monitoring late-onset toxicities in phase I trials using predicted risks. Biostatistics. 2008 Jul; 9(3):442-57.
Score: 0.015