I agree Richard that for the missing information, we
need to be careful before filling in any sensible
value....
As for the topic of missing value, just wonder, anyone
knows reference where summarize the imputation
approaches for dealing with missing value? Thanks.
Sincerely.
Cunlin
--- Richard Williams <[email protected]>
wrote:
> At 11:32 AM 12/8/2003 +0000, Shabbar Jaffry wrote:
> >Dear Stata users,
> >
> >Currently I am working on a data set where I have
> to fill the gaps in the
> >data and then
> >do analysis. An example of the data is as follows:
> >...
> >where for sex 1 is coded for males and 2 for
> females and for employment
> >status
> >(empstatus) 1 is employed and 2 for unemployed. Is
> there any fancy command
> >in stata
> >which can fill the gaps.
>
> How you should handle missing data depends on the
> reason it is
> missing. For example, it makes little sense to fill
> in # of pregnancies
> for males. So, I'd be careful about using just any
> old command that
> handles missing data.
>
> Within stata, giving the command "search missing
> data" yields a lot of
> suggestions. The impute and ipolate commands may be
>
> useful.
> http://www.stata.com/support/faqs/data/missing.html
> explains some
> ways to replace MD. Lots of other stuff there too.
>
>
> -------------------------------------------
> Richard Williams, Associate Professor
> OFFICE: (574)631-6668, (574)631-6463
> FAX: (574)288-4373
> HOME: (574)289-5227
> EMAIL: [email protected]
> WWW (personal): http://www.nd.edu/~rwilliam
> WWW (department): http://www.nd.edu/~soc
>
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