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Re: st: RE: RE: RE: RE: unpaired regression


From   "Winfield Scott Burhans" <wsb2@cornell.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: RE: RE: RE: unpaired regression
Date   Tue, 11 May 2004 19:40:45 -0400 (EDT)

John,
One last thought: what about Roger Newson's -somersd- with the cluster
option (cluster on batch?)

Buzz Burhans
wsb2@cornell.edu

>>
>> ________________________________________
>> From: owner-statalist@hsphsun2.harvard.edu
>> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of
>> Wallace, John
>> Sent: Monday, May 10, 2004 7:48 PM
>> To: 'statalist@hsphsun2.harvard.edu'
>> Subject: st: unpaired regression
>>
>> I have two measures of batch performance on which I'd like to
>> perform a
>> regression.  The measurements are taken on separate samples
>> from the batch,
>> and typically look something like:
>>             Assay1 Assay2
>> Btch1    5400
>> Btch1    5320
>> Btch1    5670
>> Btch1                0.900
>> Btch1                0.905
>> Btch1                0.898
>> Btch2    8600
>> Btch2    7840
>> Btch2    7550
>> Btch2                0.962
>> Btch2                0.955
>> Btch2                0.943
>> ...etc (on for multiple batches which show correlated
>> measures for the two
>> assays)
>> -collapse- ing them to batch averages and then performing the
>> regression is
>> one approach, but it doesn't take variance of the measures
>> themselves into
>> account in the regression.  Is there a system for performing
>> this type of
>> analysis?
>>
>
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