Yuan Ji to Models, Statistical
This is a "connection" page, showing publications Yuan Ji has written about Models, Statistical.
Connection Strength
2.090
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A Bayesian interval dose-finding design addressingOckham's razor: mTPI-2. Contemp Clin Trials. 2017 07; 58:23-33.
Score: 0.459
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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: 0.443
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Bayesian models based on test statistics for multiple hypothesis testing problems. Bioinformatics. 2008 Apr 01; 24(7):943-9.
Score: 0.242
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A Bayesian random partition model for sequential refinement and coagulation. Biometrics. 2019 09; 75(3):988-999.
Score: 0.131
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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: 0.130
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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: 0.103
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Bayclone: Bayesian nonparametric inference of tumor subclones using NGS data. Pac Symp Biocomput. 2015; 467-78.
Score: 0.098
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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: 0.087
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Bayesian continual reassessment method for dose-finding trials infusing T cells with limited sample size. J Biopharm Stat. 2012; 22(6):1206-19.
Score: 0.079
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A modified toxicity probability interval method for dose-finding trials. Clin Trials. 2010 Dec; 7(6):653-63.
Score: 0.073
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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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Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios. Biometrics. 2006 Sep; 62(3):777-84.
Score: 0.055
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Applications of beta-mixture models in bioinformatics. Bioinformatics. 2005 May 01; 21(9):2118-22.
Score: 0.049
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A novel means of using gene clusters in a two-step empirical Bayes method for predicting classes of samples. Bioinformatics. 2005 Apr 01; 21(7):1055-61.
Score: 0.048
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Accuracy of RNA-Seq and its dependence on sequencing depth. BMC Bioinformatics. 2012; 13 Suppl 13:S5.
Score: 0.021
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Dose--schedule finding in phase I/II clinical trials using a Bayesian isotonic transformation. Stat Med. 2008 Oct 30; 27(24):4895-913.
Score: 0.016