 Connection
Brooke Fridley to Models, Statistical
This is a "connection" page, showing publications Brooke Fridley has written about Models, Statistical.
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Connection Strength |
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2.103 |
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Li Q, Noel-MacDonnell JR, Koestler DC, Goode EL, Fridley BL. Subject level clustering using a negative binomial model for small transcriptomic studies. BMC Bioinformatics. 2018 Dec 12; 19(1):474.
Score: 0.645
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Fridley BL, Biernacka JM. Gene set analysis of SNP data: benefits, challenges, and future directions. Eur J Hum Genet. 2011 Aug; 19(8):837-43.
Score: 0.379
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Fridley BL. Bayesian variable and model selection methods for genetic association studies. Genet Epidemiol. 2009 Jan; 33(1):27-37.
Score: 0.324
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Fridley B, Rabe K, de Andrade M. Imputation methods for missing data for polygenic models. BMC Genet. 2003 Dec 31; 4 Suppl 1:S42.
Score: 0.229
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Wu D, Yang H, Winham SJ, Natanzon Y, Koestler DC, Luo T, Fridley BL, Goode EL, Zhang Y, Cui Y. Mediation analysis of alcohol consumption, DNA methylation, and epithelial ovarian cancer. J Hum Genet. 2018 Mar; 63(3):339-348.
Score: 0.151
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Fridley BL, Lund S, Jenkins GD, Wang L. A Bayesian integrative genomic model for pathway analysis of complex traits. Genet Epidemiol. 2012 May; 36(4):352-9.
Score: 0.101
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Fridley BL, Serie D, Jenkins G, White K, Bamlet W, Potter JD, Goode EL. Bayesian mixture models for the incorporation of prior knowledge to inform genetic association studies. Genet Epidemiol. 2010 Jul; 34(5):418-26.
Score: 0.090
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Fridley BL, Jenkins G, Schaid DJ, Wang L. A Bayesian hierarchical nonlinear model for assessing the association between genetic variation and drug cytotoxicity. Stat Med. 2009 Sep 20; 28(21):2709-22.
Score: 0.085
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Fridley BL, de Andrade M. Missing phenotype data imputation in pedigree data analysis. Genet Epidemiol. 2008 Jan; 32(1):52-60.
Score: 0.076
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Atkinson EJ, McDonnell SK, Witte JS, Crawford DC, Fan Y, Fridley B, Li D, Li L, Rodin A, Sadee W, Speed T, Weiss ST, Yang J, Yerges L, Schaid DJ. Conference Scene: Lessons learned from the 5th Statistical Analysis Workshop of the Pharmacogenetics Research Network. Pharmacogenomics. 2010 Mar; 11(3):297-303.
Score: 0.022
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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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