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Re: st: Missing outcome variables - how to deal with these? OR moels and reality
From
"jmpsouza" <[email protected]>
To
<[email protected]>
Subject
Re: st: Missing outcome variables - how to deal with these? OR moels and reality
Date
Mon, 25 May 2009 10:21:02 -0300
Thank you, Maarten.
José Maria
Jose Maria Pacheco de Souza, Professor Titular (aposentado)
Departamento de Epidemiologia/Faculdade de Saude Publica, USP
Av. Dr. Arnaldo, 715
01246-904 - S. Paulo/SP - Brasil
fones (11)3061-7747; (11)3768-8612
fax (11)3714-2403
www.fsp.usp.br/~jmpsouza
----- Original Message -----
From: "Maarten buis" <[email protected]>
To: <[email protected]>
Sent: Monday, May 25, 2009 4:43 AM
Subject: Re: st: Missing outcome variables - how to deal with these? OR
moels and reality
-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
--- On Sun, 24/5/09, jmpsouza wrote:
may I present a situation very usual, indeed one that
already happened to me, a possible way to handle it and the
question whether the conduct is reasonable:
1. the data come from official registry;
2. the outcome is birth weigth, coded 0 for normal and 1
for low, no missing;
3. the model is logistic (just for simplify, since it
was used glm poisson robust as an estimate of the prevalence
ratios);
4. var1, var2, var3, var4 with very very few missings
(let´s say less than 2%);
5. var5, with 4 categories, but with about 20% missing
answers;
6. var6, same as var5;
7. var5 received then 5 categories: 1 , 2 , 3 , 4,
the same original ones and 5, when missing;
8. tab(var5), gen(var5);
9. same for var6;
10. any of var51 or var52 or var53 or var54 is used as
reference, the others, including var55 are in the command ;
11. same for var 61, var62 etc.
12. the command is logistic weigth var1 var2 var3
var4 var52 var53 var54 var55 var62 var63 var64 var65;
13. in the analysis var55 and var65 are placeholders, but
their odds ratios may be useful.
The question: may this be used, is it too difficult to
accept? Is it a situation for using -ice-?
The problem with this method is explained here:
http://www.stata.com/statalist/archive/2007-12/msg00030.html
Hope this helps,
Maarten
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