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Connection

Yuan Ji to Clinical Trials, Phase I as Topic

This is a "connection" page, showing publications Yuan Ji has written about Clinical Trials, Phase I as Topic.
Connection Strength

3.419
  1. The i3+3 design for phase I clinical trials. J Biopharm Stat. 2020 03; 30(2):294-304.
    View in: PubMed
    Score: 0.631
  2. A Bayesian interval dose-finding design addressingOckham's razor: mTPI-2. Contemp Clin Trials. 2017 07; 58:23-33.
    View in: PubMed
    Score: 0.541
  3. 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.
    View in: PubMed
    Score: 0.521
  4. 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.
    View in: PubMed
    Score: 0.408
  5. Bayesian continual reassessment method for dose-finding trials infusing T cells with limited sample size. J Biopharm Stat. 2012; 22(6):1206-19.
    View in: PubMed
    Score: 0.374
  6. Dose-finding in phase I clinical trials based on toxicity probability intervals. Clin Trials. 2007; 4(3):235-44.
    View in: PubMed
    Score: 0.265
  7. Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios. Biometrics. 2006 Sep; 62(3):777-84.
    View in: PubMed
    Score: 0.258
  8. 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.
    View in: PubMed
    Score: 0.153
  9. A decision-theoretic phase I-II design for ordinal outcomes in two cycles. Biostatistics. 2016 Apr; 17(2):304-19.
    View in: PubMed
    Score: 0.122
  10. Dose--schedule finding in phase I/II clinical trials using a Bayesian isotonic transformation. Stat Med. 2008 Oct 30; 27(24):4895-913.
    View in: PubMed
    Score: 0.075
  11. Monitoring late-onset toxicities in phase I trials using predicted risks. Biostatistics. 2008 Jul; 9(3):442-57.
    View in: PubMed
    Score: 0.071
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.