Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Multilevel models and multiple imputation


From   "Nailing Xia" <nailingxia@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Multilevel models and multiple imputation
Date   Tue, 11 Nov 2008 09:48:23 -0500

Hi,

I have a question regarding the standard error of the random-effects
parameter in multi-level models (-xtmixed).

I am estimating a multilevel model using -xtmixed-, and the dataset I
use is from multiple imputation procedure using -ice-. I use -mim- for
estimation and the command is : mim: xtmixed irtm pexpect pbelmth
mclsize mtexp if [parwgt] || schid: || childid:. The output gives the
random-effects paramters in logrithm of the paramters:
------------------------------------------------------------------------------
        irtm |     Coef.  Std. Err.        [95% Conf. Int.]   MI.df
-------------+----------------------------------------------------------------
   /lns1_1_1 |   1.20731   .052497                    1.10429  1.31034  923.0
   /lns2_1_1 |   2.42047   .009313                    2.40208  2.43886  164.9
    /lnsig_e   |   2.21744    .00496                     2.2077
2.22718  597.9
------------------------------------------------------------------------------

I know I can get the paramter by using di exp(1.20731), but how can I
get the corresponding standard errors?

Thank you!
Nailing Xia
*
*   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/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index