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Re: st: MANCOVA versus Zellner's SUR


From   Phil Schumm <pschumm@uchicago.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: MANCOVA versus Zellner's SUR
Date   Sun, 4 Nov 2007 03:25:26 -0600

On Nov 4, 2007, at 4:39 PM, Joseph Coveney wrote:
Two response variables are each measured at baseline and again after treatment in a study with random allocation to treatment groups. I would like to use the baseline measurements as covariates in a multivariate analysis. Does anyone have a recommendation as to whether -manova- or -sureg- would be more appropriate here?

You don't indicate what the objective(s) of the analysis are (including what other covariates might be relevant), but wouldn't another option here be to compute the differences (pre to post) for each measure, and then look at how the joint distribution of those differences differs between the treatment groups? For starters, a simple test of the null hypothesis that the mean differences are the same (using, say, Hotelling's T-squared test) would presumably be informative.


-- Phil

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