For some very good hints on this topic, Rodrigo might want to take a look
at:
- Sterne JAC, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, Wood AM,
Carpenter JR. Multiple imputation for missing data in epidemiological and
clinical research: potential and pitfalls. BMJ 2009;338:b2393. doi:
10.1136/bmj.b2393;
-Little RJA, Rubin DB. Statistical anlysis with missing data. Second
edition. Chichester: Wiley, 2002;
and, taking the matter further:
- Rubin DR. Multiple imputation for Nonresponse in Surveys. Chichester:
Wiley, 2004.
Sorry I cannot be more helpful.
Kind Regards,
Carlo
-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Rodrigo Briceño
Inviato: giovedì 19 novembre 2009 18.31
A: statalist@hsphsun2.harvard.edu
Oggetto: st: management of missing
Dear Stata users. I'm facing a big problem with some cross-section
running in Stata (windows XP, Stata 9.2) because there are a lot of
missing in my database.
The output generated is limited to this observations that have
complete information in all variables.
My question to the list is if Stata allows you to avoid dropping
observations based on the listwise criteria. I want to know this
because maybe this will be a possible solution for raising the sample
where the estimations are based.
Thanks to all of you
--
Rodrigo Briceño
Economist
+506 22-91-12-00 ext. 113 Office
+506 22-32-08-30 Fax
rjbriceno@gmail.com
MSN: jbric98@hotmail.com
SKYPE: rbriceno1087
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