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Connection

Nancy Jean Cox to Bayes Theorem

This is a "connection" page, showing publications Nancy Jean Cox has written about Bayes Theorem.

 
Connection Strength
 
 
 
0.190
 
  1. Althouse AD, Below JE, Claggett BL, Cox NJ, de Lemos JA, Deo RC, Duval S, Hachamovitch R, Kaul S, Keith SW, Secemsky E, Teixeira-Pinto A, Roger VL. Recommendations for Statistical Reporting in Cardiovascular Medicine: A Special Report From the American Heart Association. Circulation. 2021 07 27; 144(4):e70-e91.
    View in: PubMed
    Score: 0.048
  2. Wang Q, Chen R, Cheng F, Wei Q, Ji Y, Yang H, Zhong X, Tao R, Wen Z, Sutcliffe JS, Liu C, Cook EH, Cox NJ, Li B. A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data. Nat Neurosci. 2019 05; 22(5):691-699.
    View in: PubMed
    Score: 0.042
  3. Wheeler HE, Shah KP, Brenner J, Garcia T, Aquino-Michaels K. Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues. PLoS Genet. 2016 Nov; 12(11):e1006423.
    View in: PubMed
    Score: 0.035
  4. Wheeler HE, Aquino-Michaels K, Gamazon ER, Trubetskoy VV, Dolan ME, Huang RS, Cox NJ, Im HK. Poly-omic prediction of complex traits: OmicKriging. Genet Epidemiol. 2014 Jul; 38(5):402-15.
    View in: PubMed
    Score: 0.029
  5. Shervais S, Kramer PL, Westaway SK, Cox NJ, Zwick M. Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases. Stat Appl Genet Mol Biol. 2010; 9:Article18.
    View in: PubMed
    Score: 0.022
  6. Tsalenko A, Ben-Dor A, Cox N, Yakhini Z. Methods for analysis and visualization of SNP genotype data for complex diseases. Pac Symp Biocomput. 2003; 548-61.
    View in: PubMed
    Score: 0.013
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.