期刊名称：International Journal of Collaborative Research on Internal Medicine & Public Health
电子版ISSN：1840-4529
出版年度：2015
卷号：7
期号：11
页码：1-7
语种：English
出版社：DRUNPP Sarajevo
摘要：Distance correlation (DC) is a new choice to compute the relation between variables. However, the Bayesian counterpart of Distance Correlation is not well established. In this paper, a Bayesian counterpart of Distance Correlation is proposed. The proposed method is illustrated with Liver Cirrhosis Marker data. Previously published data on the relation between aspartate transaminase (AST) and alanine transaminase (ALT) is used to formulate the prior information for Bayesian computation. The computed DC using the proposed method between AST and ALT (both of which are markers of liver function) is 0.44. The credible interval is ranges 0.41 to 0.46. Bayesian counterpart proposed herein to compute DC coefficient is simple and handy.
关键词：Distance correlation;Liver Cirrhosis;AST;ALT; (both of which are markers of liver function) is 0
