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RE: st: finding means and percentiles with mim


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: finding means and percentiles with mim
Date   Thu, 25 Mar 2010 08:39:43 -0700

I agree with the message.  However, what I am looking for is a descriptive statistic, so the command sqreg y, quantile(10 25 50 75 90)  will give me the percentiles that I want.  

Here is some output.

. mim:sqreg lck ,quantile(10 25 50 75 90)

Multiple-imputation estimates (sqreg)                Imputations =      20
                                                     Minimum obs =     432
                                                     Minimum dof =   386.9

-------------------------------------------------------------------------
     lck |     Coef.  Std. Err.     t    P>|t|    [95% Conf. Int.]     FMI
---------+----------------------------------------------------------------
   _cons |   5.01997   .118927   42.21   0.000    4.78621  5.25373   0.008
---------+----------------------------------------------------------------
    /q25 |   5.79006   .081047   71.44   0.000    5.63076  5.94937   0.017
    /q50 |   6.95493   .132365   52.54   0.000    6.69472  7.21513   0.030
    /q75 |   8.52631   .170016   50.15   0.000    8.19204  8.86058   0.050
    /q90 |   9.56167   .132408   72.21   0.000    9.30136  9.82199   0.045
--------------------------------------------------------------------------

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Martin Weiss
Sent: Wednesday, March 24, 2010 12:48 PM
To: statalist@hsphsun2.harvard.edu
Subject: RE: st: finding means and percentiles with mim


<>

" the command qreg is supported by mim, so I think I can use it."



Note the cautionary tale in this thread, though:
http://www.stata.com/statalist/archive/2009-11/msg01343.html



HTH
Martin


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