Dear List,

When a lab analyzes their own data, they control for the degradation in 
confidence due to multiple comparisons.
But how does that work when you have many labs analyzing the same data?

At the one end, several labs could do exactly the same analysis and get the 
same results.
At the other end, several labs could run entirely different tests, each 
controlling for the comparisons they do, and reporting their results with the 
confidence levels they compute under the assumption that those are the only 
tests.
But since the total number of tests under these circumstances is the sum for 
all the labs, isn't that the number of comparisons for which each lab must 
control?

I hope I've expressed this clearly enough.
I admit to being confused by the question.
What do you think?

Best - Don


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