Re: st: summary statistics with mi multiple imputation

[Maarten buis <maartenbuis@yahoo.co.uk>]

--- On Mon, 19/7/10, Alan Acock wrote:
> I still need some descriptive
> statistics on background/demographic variables to describe
> the sample. 
> a. Should I report the demographic means/sd's for each
> variable using the original dataset and N for each
> variable?
> b. Should I report the grand mean treating the 20 datasets
> as one big dataset? 
> c. What is the best practice? Is there a way to get
> confidence intervals that around the means that take the
> multiple imputation into account?

It can be informative to report both the means in your
original sample and the average of the means in each
imputed sample (the latter is the point estimate in multiple
imputated datasets). If you only want the means and 
their standard errors / confidence intervals you can 
use the -mean- command, which can easily be combined 
with -mim-. The example below requires both -ice- and
-mim-, which can be downloaded by typing in Stata 
-ssc install ice- and -ssc install mim-, respectively.

*----------------- begin example ------------------
sysuse nlsw88, clear
ice union grade tenure race south, m(5) clear
mean union grade tenure south if _mj == 0
mim: mean union grade tenure south
*------------------- end example ------------------ 
(For more on examples I sent to the Statalist see: 
http://www.maartenbuis.nl/example_faq )

Hope this helps,
Maarten

--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://www.maartenbuis.nl
--------------------------


      

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