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From | brendan.halpin@ul.ie (Brendan Halpin) |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Propensity score matching and multiple imputation |
Date | Thu, 17 May 2012 13:07:26 +0100 |
On Thu, May 17 2012, Michela Coppola wrote: > Now the combined standard error using the Rubin's rule is smaller than > the standard errors in each of the 5 implicates! I expected bigger > standard errors not smaller ones (as the variability introduced through > the imputation is now taken into account). > > > > How is it that possible (I checked several times the formulas, so I'm > sure that there are no errors when combining in excel the standard > errors)? If I understand the relevant formula correctly (see e.g., p237 of Patrick Royston's 2004 Stata Journal article) the variance of the imputation is the average of the variance of the imputed data sets (the "within" part), plus the "between" part, which is strictly non-negative. I suspect Excel is not doing what you think it is doing. And given the nature of Excel, it is a little hard for you to show us what it is doing. Show us the figures, perhaps? Brendan -- Brendan Halpin, Department of Sociology, University of Limerick, Ireland Tel: w +353-61-213147 f +353-61-202569 h +353-61-338562; Room F1-009 x 3147 mailto:brendan.halpin@ul.ie ULSociology on Facebook: http://on.fb.me/fjIK9t http://teaching.sociology.ul.ie/bhalpin/wordpress twitter:@ULSociology * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/