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re: st: loneway and intraclass correlation

From   David Airey <[email protected]>
To   [email protected]
Subject   re: st: loneway and intraclass correlation
Date   Tue, 26 Sep 2006 10:57:37 -0500

In Martin Bland's book on medical statistics, he says:

Sometimes we have pairs of observations where there is no obvious choice between X and Y. The choice of X and Y is arbitrary.

He then goes on to discuss intraclass correlation.

I have a set of data which meets this criteria and if I run 'loneway x y' and 'loneway y x', I get 2-different ICC values, which I can expect.

However...what I don't know is what to do with the different values. Is one better than the other? How do I select which ICC value is actually the one I should be using?


I don't agree with the premise. I think the intraclass correlation is a measure of variation within compared to between classes. One of the variables should be continuous (Y) and the other a class or categorical variable (X) to use loneway (or xtmixed). In your situation, are both your variables continuous measures? To me, that would make sense and if you switch either variable as dependent variable, you still would get the same correlation, if you used Stata's "correlate" command.
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