Em 7/9/2011 16:53, array chip escreveu:
Hi all, thanks very much for sharing your thoughts. and sorry for my describing
the problem not clearly, my fault.
My data is paired, that is 2 different diagnostic tests were performed on the same
individuals. Each individual will have a test results from each of the 2 tests. Then in
the end, 2 accuracy rates were calculated for the 2 tests. And I want to test if there is
a significant difference in the accuracy (proportion) between the 2 tests. My
understanding is that prop.test() is appropriate for 2 independent proportions, whereas
in my situation, the 2 proportions are not independent calculated from "paired"
data, right?
the data would look like:
pid test1 test2
p1 1 0
p2 1 1
p3 0 1
:
:
1=test is correct; 0=not correct
from the data above, we can calculate accuracy for test1 and test2, then to
compare....
So mcnemar.test() is good for that, right?
Thanks
John,
From above clarifying I suggest you consider the use of kappa test. For
a list of possible ways of doing it in R try:
RSiteSearch("kappa",restrict="functions")
HTH
--
Cesar Rabak
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