 Connection
Rasika Mathias to Computer Simulation
This is a "connection" page, showing publications Rasika Mathias has written about Computer Simulation.
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Connection Strength |
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0.312 |
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Suktitipat B, Mathias RA, Vaidya D, Yanek LR, Young JH, Becker LC, Becker DM, Wilson AF, Fallin MD. The robustness of generalized estimating equations for association tests in extended family data. Hum Hered. 2012; 74(1):17-26.
Score: 0.073
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Won S, Wilk JB, Mathias RA, O'Donnell CJ, Silverman EK, Barnes K, O'Connor GT, Weiss ST, Lange C. On the analysis of genome-wide association studies in family-based designs: a universal, robust analysis approach and an application to four genome-wide association studies. PLoS Genet. 2009 Nov; 5(11):e1000741.
Score: 0.060
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Mathias RA, Beaty TH, Bailey-Wilson JE, Bickel C, Stockton ML, Barnes KC. Inheritance of total serum IgE in the isolated Tangier Island population from Virginia: complexities associated with genealogical depth of pedigrees in segregation analyses. Hum Hered. 2005; 59(4):228-38.
Score: 0.045
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Sun Q, Rowland BT, Chen J, Mikhaylova AV, Avery C, Peters U, Lundin J, Matise T, Buyske S, Tao R, Mathias RA, Reiner AP, Auer PL, Cox NJ, Kooperberg C, Thornton TA, Raffield LM, Li Y. Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. Nat Commun. 2024 Feb 03; 15(1):1016.
Score: 0.040
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Diego VP, Atwood L, Mathias RA, Almasy L. Consistency of genetic analyses in longitudinal data: observations from the GAW13 Framingham Heart Study data. Genet Epidemiol. 2003; 25 Suppl 1:S29-35.
Score: 0.037
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Li X, Li Z, Zhou H, Gaynor SM, Liu Y, Chen H, Sun R, Dey R, Arnett DK, Aslibekyan S, Ballantyne CM, Bielak LF, Blangero J, Boerwinkle E, Bowden DW, Broome JG, Conomos MP, Correa A, Cupples LA, Curran JE, Freedman BI, Guo X, Hindy G, Irvin MR, Kardia SLR, Kathiresan S, Khan AT, Kooperberg CL, Laurie CC, Liu XS, Mahaney MC, Manichaikul AW, Martin LW, Mathias RA, McGarvey ST, Mitchell BD, Montasser ME, Moore JE, Morrison AC, O'Connell JR, Palmer ND, Pampana A, Peralta JM, Peyser PA, Psaty BM, Redline S, Rice KM, Rich SS, Smith JA, Tiwari HK, Tsai MY, Vasan RS, Wang FF, Weeks DE, Weng Z, Wilson JG, Yanek LR, Neale BM, Sunyaev SR, Abecasis GR, Rotter JI, Willer CJ, Peloso GM, Natarajan P, Lin X. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nat Genet. 2020 Sep; 52(9):969-983.
Score: 0.032
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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: 0.013
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Klein AP, Tsai YY, Duggal P, Gillanders EM, Barnhart M, Mathias RA, Dusenberry IP, Turiff A, Chines PS, Goldstein J, Wojciechowski R, Hening W, Pugh EW, Bailey-Wilson JE. Investigation of altering single-nucleotide polymorphism density on the power to detect trait loci and frequency of false positive in nonparametric linkage analyses of qualitative traits. BMC Genet. 2005 Dec 30; 6 Suppl 1:S20.
Score: 0.011
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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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