Connection

SUSAN HILSENBECK to Models, Statistical

This is a "connection" page, showing publications SUSAN HILSENBECK has written about Models, Statistical.
Connection Strength

0.600
  1. A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data. Biostatistics. 2018 01 01; 19(1):71-86.
    View in: PubMed
    Score: 0.471
  2. Early termination of a phase II clinical trial. Control Clin Trials. 1988 Sep; 9(3):177-88.
    View in: PubMed
    Score: 0.062
  3. Bayesian Optimal Interval Design: A Simple and Well-Performing Design for Phase I Oncology Trials. Clin Cancer Res. 2016 Sep 01; 22(17):4291-301.
    View in: PubMed
    Score: 0.027
  4. Estimation of completeness and adjustment of age-specific and age-standardized incidence rates. Biometrics. 1992 Dec; 48(4):1249-62.
    View in: PubMed
    Score: 0.021
  5. Making the most of your prognostic factors: presenting a more accurate survival model for breast cancer patients. Breast Cancer Res Treat. 1992; 22(3):251-62.
    View in: PubMed
    Score: 0.019
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.