 Connection
Rasika Mathias to Regression Analysis
This is a "connection" page, showing publications Rasika Mathias has written about Regression Analysis.
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Connection Strength |
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0.077 |
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Little A, Zhao N, Mikhaylova A, Zhang A, Ling W, Thibord F, Johnson AD, Raffield LM, Curran JE, Blangero J, O'Connell JR, Xu H, Rotter JI, Rich SS, Rice KM, Chen MH, Reiner A, Kooperberg C, Vu T, Hou L, Fornage M, Loos RJF, Kenny E, Mathias R, Becker L, Smith AV, Boerwinkle E, Yu B, Thornton T, Wu MC. General Kernel Machine Methods for Multi-Omics Integration and Genome-Wide Association Testing With Related Individuals. Genet Epidemiol. 2025 Jan; 49(1):e22610.
Score: 0.049
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Roy-Gagnon MH, Mathias RA, Fallin MD, Jee SH, Broman KW, Wilson AF. An extension of the regression of offspring on mid-parent to test for association and estimate locus-specific heritability: the revised ROMP method. Ann Hum Genet. 2008 Jan; 72(Pt 1):115-25.
Score: 0.015
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Roy-Gagnon MH, Mathias RA, Wilson AF. Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data. BMC Genet. 2005 Dec 30; 6 Suppl 1:S56.
Score: 0.013
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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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