there are ways of combining sets of parameters rather than a single parameter, but in almost all cases the ultimate quantity of interest is still a single parameter.  so whatever you were going to do with the covariance matrix is what I'd consider the ultimate quantity of interest.  then you can use the usual combining rules described in our article and in the manual.
Gary
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http://gking.harvard.edu


On 03/29/2009 08:46 AM, Simon Wigley wrote:
Hello
How (if at all) can we create a single covariance matrix by combining the m imputed data sets?

Many thanks in advance
Simon Wigley/ Arzu Akkoyunlu
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