I am trying to impute missing values for a single categorical SES
variable, and am having a difficult time (I am new to multiple
imputation.)
About my data:
300 or so observations from a case-control study (n=544)
The variable of interest is a covariate in my analysis. It has 4
categories, coded 0-4, with 0 as the reference category. There are
74 missing values.
I would like to impute categorical values for this variable.
I have complete data for other continuous covariates I can use for
the imputation.
I have consulted ice help and Royston's 2005 paper in the Stata
Journal (vol 2, pp.1-14), scoured the net, and remain unclear about a
number of issues.
For example:
It is unclear to me whether I should use the ice command or the uvis
command.
It is also unclear to me whether I should specify the variable as a
categorical variable using xi: and i. (alternatively, as m., o.)
Any clear advice for someone new to MI and examples of syntax would
be *much* appreciated.
In advance, many thanks,
Dana March
PhD candidate in Epidemiology
Columbia University
*
* 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/
