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Re: st: Re:using a flag variable for missing values in a regression
From
Richard Goldstein <[email protected]>
To
[email protected]
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?
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