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st: Mixing xtmixed and multiple imputation
From
"Gross, Alden L." <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Mixing xtmixed and multiple imputation
Date
Wed, 16 Oct 2013 12:23:53 -0400
Dear Statalist,
I am running a random intercept model using XTMIXED on multiply imputed data that were generated using the ice.ado command.
My question and concern: output in the Stata window is different from that which is saved in the returned r(table) matrix. Why does this happen? Which is the truth? Below is an example. The 0.807018 coefficient for intgrp_1 turns into .74022102 in r(table)!
mim: xtmixed pct_total intgrp_1 tiyear_1 intxtiy_1_1 || id: , cov(unstr)
Multiple-imputation estimates (xtmixed) Imputations = 11
Mixed-effects REML regression Minimum obs = 1404
Minimum dof = 64.9
------------------------------------------------------------------------------
pct_total | Coef. Std. Err. t P>|t| [95% Conf. Int.] FMI
-------------+----------------------------------------------------------------
intgrp_1 | .807018 .780756 1.03 0.301 -.723245 2.33728 0.004
tiyear_1 | 1.68917 .584153 2.89 0.005 .525116 2.85321 0.269
intxtiy_1_1 | .312629 .801866 0.39 0.697 -1.27744 1.9027 0.220
_cons | 49.64 .553024 89.76 0.000 48.5561 50.7239 0.005
-------------+----------------------------------------------------------------
/lns1_1_1 | 2.0611 .040247 1.98188 2.14033 0.128
/lnsig_e | 1.90107 .031234 1.83869 1.96345 0.289
------------------------------------------------------------------------------
mat list r(table)
r(table)[9,6]
pct_total: pct_total: pct_total: pct_total: lns1_1_1: lnsig_e:
intgrp_1 tiyear_1 intxtiy_1_1 _cons _cons _cons
b .74022102 1.9004145 .19115065 49.642492 2.0656475 1.8845627
se .77570477 .49766392 .70280263 .54928689 .03721066 .02672613
z .95425612 3.8186705 .2719834 90.376255 55.512244 70.513858
pvalue .33995401 .00013417 .78563478 0 0 0
ll -.78013238 .92501116 -1.1863172 48.56591 1.9927159 1.8321804
ul 2.2605744 2.8758179 1.5686185 50.719075 2.138579 1.936945
df . . . . . .
crit 1.959964 1.959964 1.959964 1.959964 1.959964 1.959964
eform 0 0 0 0 0 0
Thank you in advance,
Alden Gross, PhD, MHS
Department of Epidemiology, JHSPH
Center on Aging and Health
Suite 2-700, 2024 E. Monument St.
Baltimore, MD 21231
[email protected]
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