 Connection
Debashis Ghosh to Regression Analysis
This is a "connection" page, showing publications Debashis Ghosh has written about Regression Analysis.
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Connection Strength |
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1.645 |
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Hua WY, Ghosh D. Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies. Biometrics. 2015 Sep; 71(3):812-20.
Score: 0.436
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Ghosh D. Semiparametric inference for surrogate endpoints with bivariate censored data. Biometrics. 2008 Mar; 64(1):149-56.
Score: 0.254
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Ghosh D. Accelerated rates regression models for recurrent failure time data. Lifetime Data Anal. 2004 Sep; 10(3):247-61.
Score: 0.208
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Carpenter CM, Zhang W, Gillenwater L, Severn C, Ghosh T, Bowler R, Kechris K, Ghosh D. PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes. PLoS Comput Biol. 2021 10; 17(10):e1008986.
Score: 0.171
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Jensen AM, Tregellas JR, Sutton B, Xing F, Ghosh D. Kernel machine tests of association between brain networks and phenotypes. PLoS One. 2019; 14(3):e0199340.
Score: 0.143
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Ghosh D, Zhu Y, Coffman DL. Penalized regression procedures for variable selection in the potential outcomes framework. Stat Med. 2015 May 10; 34(10):1645-58.
Score: 0.107
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Yuan Z, Ghosh D. Combining multiple biomarker models in logistic regression. Biometrics. 2008 Jun; 64(2):431-9.
Score: 0.066
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Ghosh D. On the Plackett distribution with bivariate censored data. Int J Biostat. 2008; 4(1):Article 7.
Score: 0.066
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Liu D, Lin X, Ghosh D. Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models. Biometrics. 2007 Dec; 63(4):1079-88.
Score: 0.065
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Ghosh D. Penalized discriminant methods for the classification of tumors from gene expression data. Biometrics. 2003 Dec; 59(4):992-1000.
Score: 0.049
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Ghosh D. Singular value decomposition regression models for classification of tumors from microarray experiments. Pac Symp Biocomput. 2002; 18-29.
Score: 0.043
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Chen W, Ghosh D, Raghunathan TE, Norkin M, Sargent DJ, Bepler G. On Bayesian methods of exploring qualitative interactions for targeted treatment. Stat Med. 2012 Dec 10; 31(28):3693-707.
Score: 0.022
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Chang ST, Ghosh D, Kirschner DE, Linderman JJ. Peptide length-based prediction of peptide-MHC class II binding. Bioinformatics. 2006 Nov 15; 22(22):2761-7.
Score: 0.015
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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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