 Connection
Debashis Ghosh to Models, Statistical
This is a "connection" page, showing publications Debashis Ghosh has written about Models, Statistical.
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Connection Strength |
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4.416 |
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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: 0.394
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Cho Y, Ghosh D. Weighted estimation of the accelerated failure time model in the presence of dependent censoring. PLoS One. 2015; 10(4):e0124381.
Score: 0.393
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Ghosh D. Incorporating the empirical null hypothesis into the Benjamini-Hochberg procedure. Stat Appl Genet Mol Biol. 2012 Jul 26; 11(4).
Score: 0.325
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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.
Score: 0.301
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Ghosh D, Elliott MR, Taylor JM. Links between analysis of surrogate endpoints and endogeneity. Stat Med. 2010 Dec 10; 29(28):2869-79.
Score: 0.291
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Ghosh D. Discrete nonparametric algorithms for outlier detection with genomic data. J Biopharm Stat. 2010 Mar; 20(2):193-208.
Score: 0.275
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Ghosh D. Semiparametric analysis of recurrent events: artificial censoring, truncation, pairwise estimation and inference. Lifetime Data Anal. 2010 Oct; 16(4):509-24.
Score: 0.273
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Ghosh D, Chinnaiyan AM. Genomic outlier profile analysis: mixture models, null hypotheses, and nonparametric estimation. Biostatistics. 2009 Jan; 10(1):60-9.
Score: 0.244
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Ghosh D. Incorporating monotonicity into the evaluation of a biomarker. Biostatistics. 2007 Apr; 8(2):402-13.
Score: 0.215
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Ghosh D. Semi-parametric inferences for association with semi-competing risks data. Stat Med. 2006 Jun 30; 25(12):2059-70.
Score: 0.213
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Josey KP, Berkowitz SA, Ghosh D, Raghavan S. Transporting experimental results with entropy balancing. Stat Med. 2021 08 30; 40(19):4310-4326.
Score: 0.150
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Ghosh D. Relaxed covariate overlap and margin-based causal effect estimation. Stat Med. 2018 12 10; 37(28):4252-4265.
Score: 0.124
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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: 0.097
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Lee Y, Ghosh D, Zhang Y. Regression hidden Markov modeling reveals heterogeneous gene expression regulation: a case study in mouse embryonic stem cells. BMC Genomics. 2014 May 12; 15:360.
Score: 0.092
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Ghosh D. Genomic outlier detection in high-throughput data analysis. Methods Mol Biol. 2013; 972:141-53.
Score: 0.084
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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.
Score: 0.068
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Ghosh D. On assessing surrogacy in a single trial setting using a semicompeting risks paradigm. Biometrics. 2009 Jun; 65(2):521-9.
Score: 0.065
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Ghosh D. On the Plackett distribution with bivariate censored data. Int J Biostat. 2008; 4(1):Article 7.
Score: 0.059
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Ghosh D. Semiparametric inference for surrogate endpoints with bivariate censored data. Biometrics. 2008 Mar; 64(1):149-56.
Score: 0.057
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Ghosh D. Proportional hazards regression for cancer studies. Biometrics. 2008 Mar; 64(1):141-8.
Score: 0.057
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Ghosh D. Shrunken p-values for assessing differential expression with applications to genomic data analysis. Biometrics. 2006 Dec; 62(4):1099-106.
Score: 0.055
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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: 0.047
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Ghosh D. Mixture models for assessing differential expression in complex tissues using microarray data. Bioinformatics. 2004 Jul 22; 20(11):1663-9.
Score: 0.045
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Ghosh D, Lin DY. Semiparametric analysis of recurrent events data in the presence of dependent censoring. Biometrics. 2003 Dec; 59(4):877-85.
Score: 0.045
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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: 0.045
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Ghosh D. Goodness-of-fit methods for additive-risk models in tumorigenicity experiments. Biometrics. 2003 Sep; 59(3):721-6.
Score: 0.044
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Ghosh D, Barette TR, Rhodes D, Chinnaiyan AM. Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer. Funct Integr Genomics. 2003 Dec; 3(4):180-8.
Score: 0.044
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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: 0.039
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Solis-Lemus CR, Fischer ST, Todor A, Liu C, Leslie EJ, Cutler DJ, Ghosh D, Epstein MP. Leveraging Family History in Case-Control Analyses of Rare Variation. Genetics. 2020 02; 214(2):295-303.
Score: 0.034
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Saltzman AF, Smith DE, Gao D, Ghosh D, Amini A, Aldrink JH, Dasgupta R, Gow KW, Glick RD, Ehrlich PF, Cost NG. How many lymph nodes are enough? Assessing the adequacy of lymph node yield for staging in favorable histology wilms tumor. J Pediatr Surg. 2019 Nov; 54(11):2331-2335.
Score: 0.033
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Holleman AM, Broadaway KA, Duncan R, Todor A, Almli LM, Bradley B, Ressler KJ, Ghosh D, Mulle JG, Epstein MP. Powerful and Efficient Strategies for Genetic Association Testing of Symptom and Questionnaire Data in Psychiatric Genetic Studies. Sci Rep. 2019 05 17; 9(1):7523.
Score: 0.033
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Almli LM, Duncan R, Feng H, Ghosh D, Binder EB, Bradley B, Ressler KJ, Conneely KN, Epstein MP. Correcting systematic inflation in genetic association tests that consider interaction effects: application to a genome-wide association study of posttraumatic stress disorder. JAMA Psychiatry. 2014 Dec 01; 71(12):1392-9.
Score: 0.024
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Teo G, Vogel C, Ghosh D, Kim S, Choi H. PECA: a novel statistical tool for deconvoluting time-dependent gene expression regulation. J Proteome Res. 2014 Jan 03; 13(1):29-37.
Score: 0.022
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Choi H, Fermin D, Nesvizhskii AI, Ghosh D, Qin ZS. Sparsely correlated hidden Markov models with application to genome-wide location studies. Bioinformatics. 2013 Mar 01; 29(5):533-41.
Score: 0.021
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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.
Score: 0.015
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Shen R, Ghosh D, Taylor JM. Modeling intra-tumor protein expression heterogeneity in tissue microarray experiments. Stat Med. 2008 May 20; 27(11):1944-59.
Score: 0.015
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Choi H, Ghosh D, Nesvizhskii AI. Statistical validation of peptide identifications in large-scale proteomics using the target-decoy database search strategy and flexible mixture modeling. J Proteome Res. 2008 Jan; 7(1):286-92.
Score: 0.015
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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: 0.014
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Rhodes DR, Tomlins SA, Varambally S, Mahavisno V, Barrette T, Kalyana-Sundaram S, Ghosh D, Pandey A, Chinnaiyan AM. Probabilistic model of the human protein-protein interaction network. Nat Biotechnol. 2005 Aug; 23(8):951-9.
Score: 0.013
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Abecasis GR, Ghosh D, Nichols TE. Linkage disequilibrium: ancient history drives the new genetics. Hum Hered. 2005; 59(2):118-24.
Score: 0.012
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Levin AM, Ghosh D, Cho KR, Kardia SL. A model-based scan statistic for identifying extreme chromosomal regions of gene expression in human tumors. Bioinformatics. 2005 Jun 15; 21(12):2867-74.
Score: 0.012
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Shedden K, Chen W, Kuick R, Ghosh D, Macdonald J, Cho KR, Giordano TJ, Gruber SB, Fearon ER, Taylor JM, Hanash S. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data. BMC Bioinformatics. 2005 Feb 10; 6:26.
Score: 0.012
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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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