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AW: st: finding means and percentiles with mim
From
"Martin Weiss" <[email protected]>
To
<[email protected]>
Subject
AW: st: finding means and percentiles with mim
Date
Thu, 25 Mar 2010 17:23:56 +0100
<>
Those percentiles are slightly off, however:
*************
clear*
set obs 1000
set seed 234232
gen x=rgamma(2,2)
sqreg x, quantiles(10 25 50 75 90) reps(2)
centile x, centile(10 25 50 75 90)
*************
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Lachenbruch,
Peter
Gesendet: Donnerstag, 25. März 2010 16:40
An: '[email protected]'
Betreff: RE: st: finding means and percentiles with mim
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: [email protected]
[mailto:[email protected]] On Behalf Of Martin Weiss
Sent: Wednesday, March 24, 2010 12:48 PM
To: [email protected]
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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