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Connection

Mei-Yin Polley to Research Design

This is a "connection" page, showing publications Mei-Yin Polley has written about Research Design.
Connection Strength

1.231
  1. Power estimation in biomarker studies where events are already observed. Clin Trials. 2017 Dec; 14(6):621-628.
    View in: PubMed
    Score: 0.471
  2. Two-stage designs for dose-finding trials with a biologic endpoint using stepwise tests. Biometrics. 2008 Mar; 64(1):232-41.
    View in: PubMed
    Score: 0.233
  3. Leveraging external data in the design and analysis of clinical trials in neuro-oncology. Lancet Oncol. 2021 10; 22(10):e456-e465.
    View in: PubMed
    Score: 0.157
  4. Comparison of confidence interval methods for an intra-class correlation coefficient (ICC). BMC Med Res Methodol. 2014 Nov 22; 14:121.
    View in: PubMed
    Score: 0.098
  5. Criteria for the use of omics-based predictors in clinical trials. Nature. 2013 Oct 17; 502(7471):317-20.
    View in: PubMed
    Score: 0.090
  6. Randomized phase II trial designs with biomarkers. J Clin Oncol. 2012 Sep 10; 30(26):3304-9.
    View in: PubMed
    Score: 0.083
  7. Practical modifications to the time-to-event continual reassessment method for phase I cancer trials with fast patient accrual and late-onset toxicities. Stat Med. 2011 Jul 30; 30(17):2130-43.
    View in: PubMed
    Score: 0.076
  8. Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration. BMC Med. 2013 Oct 17; 11:220.
    View in: PubMed
    Score: 0.023
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.