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Connection

Debashis Ghosh to Risk Assessment

This is a "connection" page, showing publications Debashis Ghosh has written about Risk Assessment.

 
Connection Strength
 
 
 
0.710
 
  1. Ghosh D, Taylor JM, Sargent DJ. Meta-analysis for surrogacy: accelerated failure time models and semicompeting risks modeling. Biometrics. 2012 Mar; 68(1):226-32.
    View in: PubMed
    Score: 0.205
  2. Ghosh D. On assessing surrogacy in a single trial setting using a semicompeting risks paradigm. Biometrics. 2009 Jun; 65(2):521-9.
    View in: PubMed
    Score: 0.178
  3. Ghosh D. Proportional hazards regression for cancer studies. Biometrics. 2008 Mar; 64(1):141-8.
    View in: PubMed
    Score: 0.156
  4. Tiwari P, Colborn KL, Smith DE, Xing F, Ghosh D, Rosenberg MA. Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation. JAMA Netw Open. 2020 01 03; 3(1):e1919396.
    View in: PubMed
    Score: 0.093
  5. Ghosh D. Semi-parametric inferences for association with semi-competing risks data. Stat Med. 2006 Jun 30; 25(12):2059-70.
    View in: PubMed
    Score: 0.036
  6. Stokes WA, Amini A, Jones BL, McDermott JD, Raben D, Ghosh D, Goddard JA, Bowles DW, Karam SD. Survival impact of induction chemotherapy in advanced head and neck cancer: A National Cancer Database analysis. Head Neck. 2017 06; 39(6):1113-1121.
    View in: PubMed
    Score: 0.019
  7. McEwen LN, Kim C, Haan MN, Ghosh D, Lantz PM, Thompson TJ, Herman WH. Are health-related quality-of-life and self-rated health associated with mortality? Insights from Translating Research Into Action for Diabetes (TRIAD). Prim Care Diabetes. 2009 Feb; 3(1):37-42.
    View in: PubMed
    Score: 0.011
  8. Liu D, Ghosh D, Lin X. Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models. BMC Bioinformatics. 2008 Jun 24; 9:292.
    View in: PubMed
    Score: 0.010
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.

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