Re: st: micombine and overall model fit statistics

[Richard Williams <Richard.A.Williams.5@ND.edu>]

At 08:11 PM 5/21/2007, Claire M. Kamp Dush wrote:
> Dear statalist community,
>
> I am using micombine to deal with my missing data.  I only have one 
> issue - how do I get an overall model fit statistic with 
> micombine?  Is this possible?  For instance, I am using:
We had this discussion a couple of weeks ago.  I basically asked the 
same question in this thread

http://www.stata.com/statalist/archive/2007-04/msg00871.html

which somehow transmuted into this thread:

http://www.stata.com/statalist/archive/2007-04/msg00874.html

See especially Maarten's very detailed post at

http://www.stata.com/statalist/archive/2007-04/msg00900.html

(although I think he said afterwards he had made a mistake somewhere).

I also like Rodrigo's suggestions very much.  You could kill yourself 
trying to get these computed exactly right, and still get it 
wrong.  But, if you look at the estimates produced by each separate 
imputation and they are all about the same, then I don't think any 
harm is done by following Rodrigo's suggestions.  If, on the other 
hand, you get big differences, then you may want to spend more time 
trying to get it exactly right.

Incidentally, -mim- (available from SSC) is the successor to 
-micombine-.  It adds some useful new features.  You may need to 
rename your i and j variables to get it to work with your data set.


-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
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EMAIL:  Richard.A.Williams.5@ND.Edu
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