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Connection

Debashis Ghosh to Monte Carlo Method

This is a "connection" page, showing publications Debashis Ghosh has written about Monte Carlo Method.

 
Connection Strength
 
 
 
0.268
 
  1. Cho Y, Hu C, Ghosh D. Covariate adjustment using propensity scores for dependent censoring problems in the accelerated failure time model. Stat Med. 2018 02 10; 37(3):390-404.
    View in: PubMed
    Score: 0.148
  2. Shen R, Taylor JM, Ghosh D. Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model. Bioinformatics. 2008 Dec 15; 24(24):2880-6.
    View in: PubMed
    Score: 0.079
  3. Chen W, Ghosh D, Raghunathan TE, Sargent DJ. Bayesian variable selection with joint modeling of categorical and survival outcomes: an application to individualizing chemotherapy treatment in advanced colorectal cancer. Biometrics. 2009 Dec; 65(4):1030-40.
    View in: PubMed
    Score: 0.021
  4. Chen W, Ghosh D, Raghunathan TE, Sargent DJ. A false-discovery-rate-based loss framework for selection of interactions. Stat Med. 2008 May 20; 27(11):2004-21.
    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.

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