Abstract
Distance Correlation is another newer choice to compute the relation between variables. However, the Bayesian counterpart of Distance Correlation is not established. In this paper, Bayesian counterpart of Distance Correlation is pro- posed. Proposed method is illustrated with Liver Chirrhosis Marker data. The relevant studies information about relation between AST and ALT is used to formulate the prior information for Bayesian computation. The Distance Correlation between AST and ALT (both are liver performance marker) is computed with 0.44. The credible interval is observed with (0.41, 0.46).Bayesian counter- part to compute Distance correlation is simple and handy.
Disciplines
Biostatistics
Suggested Citation
Bhattacharjee, Atanu Dr., "Distance Correlation Measures Applied to Analyze Relation between Variables in Liver Cirrhosis Marker Data" (May 2015). COBRA Preprint Series. Working Paper 113.
https://biostats.bepress.com/cobra/art113