Re: PEV

Dear Jo,

We have an xfa MET model with two predict lines:
 
predict Trial Clone !onlyuse xfa(Trial,1).Clone
predict Trial Clone
 
In the pvs file the 2 overall standard error of the difference values we
obtain are:
.66
.70
 
My question is why are these 2 values not equal to the average of the
individual values which are .47 and .51?

I'm not sure where you are getting the last two numbers from. I would
have expected the average value
reported obtained after using the !SED qualifier to be much closer
although not necessarily equal to that
reported when !SED is not specified. The difference is that the default
average SED is calculated
from the average variance and covariance while the average of the SED's
reported with !SED
is the average of the actual SED values. So there is a different
weighting, particularly if variances and
covariances are variable.

But I note that the two SEDs you have mentioned above are about SQRT(2)
bigger than 'individual values'
so are these individual values in fact just the average standard errors,
and not average SED's.

I would need to see the job to comment any further.

May Jesus Christ be gracious to you in 2008,

Arthur Gilmour, His servant .
 
Mixed model regression mapping for QTL detection in experimental crosses.
Computational Statistics and Data Analysis 51:3749-3764 at
http://dx.doi.org/10.1016/j.csda.2006.12.031

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Received on Thu Apr 08 2008 - 11:09:43 EST