Statalist


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

st: Advice on multiple imputation in Stata


From   Thomas Klausch <thomas.klausch@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Advice on multiple imputation in Stata
Date   Wed, 16 Sep 2009 19:34:43 +0200

Dear list members,

I am working with a set of survey data (n is about 1000) which
contains 36 items with missing values (min 0.1% missing, up to 16%
max). The items are surveyed on a seven point scale, so they are,
strictly speaking, on a categorical measurement level.

I have only a little theoretical knowledge on imputation techniques,
but virtually no practical experience. What I would like to do in
Stata is something like a multiple imputation using EM while
considering the items metric. Or I would like to use some logistic /
probit link function in a mulinomial model to impute categorical
variables directly.

I have read a bit about -ice- and -uvis-, whith the latter I
understand that I can impute using -mlogit-, the earlier using
"multiple imputation by chained equations", which I do not know of.

Should I use one of these or is there any other good procedure? Can
anybody recommend / advise me on a good imputation procedure for my
case?


Best regards and thanks for reading
Thomas
*
*   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