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Re: st: Bland Altman Plots for Clustered Data
There is a Berkley Press statistics paper on BA problems with  
replicated data you should google for... Don't have the reference  
handy, sorry.
Sent from my iPhone
On Apr 17, 2009, at 1:56 PM, "Ploutz-Snyder, Robert (JSC-SK)[USRA]" <[email protected] 
> wrote:
Statalisters;
In response to a reviewer's suggestion, I'm creating some Bland  
Altman plots (using concord.ado) on a panel dataset, where two  
parallel observations are made on subjects repeatedly over different  
speeds at a task. I'm doing this for a few outcomes, but have shown  
a sample below from the first 2 subjects:
    +---------------------------------------+
    | subject   speed       rer0       rer1 |
    |---------------------------------------|
 1. |       1       0   .9453608   .8185958 |
 2. |       1       2   .7703036   .7761767 |
 3. |       1       3   .7817145   .8262445 |
 4. |       1       4   .8781749   .8886828 |
 5. |       1       5   .9401777   1.012666 |
 6. |       1       6   .9988574   1.080287 |
    |---------------------------------------|
 7. |       2       0   .9489434   .8451807 |
 8. |       2       2   .8366485   .7932663 |
 9. |       2       3   .8556526   .8569991 |
10. |       2       4   .8677133   .8986406 |
11. |       2       5    .946165   .9572051 |
12. |       2       6   .9317179   .9195401 |
    |---------------------------------------|
I don't normally use BA plots, but for now I'm trying to appease a  
pesky reviewer.  My question is targeted to those of you who use or  
have an interested in the BA plots...  Since my data are clustered  
on subject, what's the best approach to plot BA-like associations  
between means and diffs on the two outcomes? I'm trying to limit the  
number of BA plots, as the paper already has better plots showing  
the effects of speed (and other vars) on these two repeated  
observations. But I have a reviewer who's really stuck on the BA plot.
I'm starting with:
concord rer0 rer1, loa(regline noref)
But troubled by the clustering of observations within subject.
Ideas?
Rob
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