On measures of association among genetic variables.
Bottom Line: These are more general than correlations, which are pairwise measures, and lack a clear interpretation beyond the bivariate normal distribution.Our measures are based on logarithmic (Kullback-Leibler) and on relative 'distances' between distributions.Two multivariate beta and multivariate beta-binomial processes are examined, and new distributions are introduced: the GMS-Sarmanov multivariate beta and its beta-binomial counterpart.
Affiliation: Department of Animal Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA. firstname.lastname@example.orgShow MeSH
Related in: MedlinePlus
Mentions: Figure 3 displays how θ and 1 − θ vary against ρ. At θ = 0 one has θ decreases somewhat subsequently and then increases, attaining 0.5 again at about ρ = 0.45. The values of the index of association suggest that the independence and association models are not ‘too distant’ unless the correlation is below −0.10, if negative, or above ρ = 0.50, if positive.
Affiliation: Department of Animal Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA. email@example.com