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. email@example.comShow MeSH
Related in: MedlinePlus
Mentions: The values of θ and of 1 − θ are plotted against ρ in Fig. 1. The dotted line (‘holds water’) gives the relative discrepancy (θ) away from the independence models when this is true, and the dashed line (‘spills water’) depicts the trajectory of 1 − θ, i.e. the relative discrepancy under association; note that a given curve is a mirror image of the other. As the absolute value of the correlation increases θ → 1, as one would expect. Since an association index with values ranging between 0 and 1 may be easier to interpret, an alternative measure could be
Affiliation: Department of Animal Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA. firstname.lastname@example.org