Hi, I am looking to examine relationships between illness and contamination data. Given the data sparseness or zero counts in the contamination datatset, exploratory look using transfer functions did not quite prove what I was looking for so I am now looking into Brownian distance covariance for general correlation given the non-linear situation to assess dependence. I have searched the web and continuing to do so but has anyone identified a SAS procedure to conduct Brownian distance covariance? Any assistance would be greatly appreciated. Thank you
No current procedures. Looking at the MATLAB code, I suppose someone with a fair amount of time and bandwidth could convert it to PROC IML code, so you might try searching the web for something along those lines.
Steve Denham
Thank you Steve. After much search, I was able to locate some coding to implement this analysis.
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