Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down at the end of May, and its replacement, statalist.org is already up and running.


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

Re: st: Re:using a flag variable for missing values in a regression


From   Richard Goldstein <richgold@ix.netcom.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Re:using a flag variable for missing values in a regression
Date   Wed, 27 Mar 2013 09:36:56 -0400

not in general but it can be ok for randomized studies; see Growenwold,
RHH, et al. (2012), "Missing covariate data in clinical research: when
and when not to use the missing-indicator method of analysis," _Canadian
Medical Association Journal_, 184(11): 1265-1269

Rich

On 3/27/13 9:28 AM, Frank D Lopresti wrote:
> I a working with a student who's prof said in a memo "Note: when
> creating new variables, missing values should be coded as some
> arbitrary numerical value (e.g., 0) so that cases aren’t dropped in
> the regression . You can also generate a missing flag for each
> variable, coded 1 for missing and 0 otherwise, and then include the
> flags in tandem with the variables for unbiased estimates."  Is this a
> valid method for dealing with missing data  I've missed?
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


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