I can answer the question about the first method. When using xi the groups
created from i.insgrp2 are static once the command is executed -- they do
not change when you change the value of insgrp2 after the fact. Therefore,
since insgrp2 is not in your model (instead it is _Iinsgrp*), changing it's
value has no impact on predict. You would need to change the values of the
variables created by xi. That is, in effect, what your second proposed
approach is, but there you only change one dummy variable to all ones, but
you don't reset the other dummy variables to zero, so I don't think you will
get the answers you're looking for.
Michael Blasnik
[email protected]
----- Original Message -----
From: <[email protected]>
To: <[email protected]>; <[email protected]>;
<[email protected]>
Sent: Thursday, September 25, 2003 12:53 PM
Subject: st: RE: adjusted percentages and adjusted odds ratios
> Sorry about the attachment, here is the document.
>
> Trying to get adjusted percentages from logistic model. 1st way-all
> estimates are exactly the same.
>
> xi: svylogit restcever i.insgrp2 i.race i.ppgender i.income3 i.edugp2
> i.agecat2 i.newmeds6mos i.numdisgp, or
>
> ****Percent va ins who restricts
>
> gen temprest=insgrp2
> recode insgrp2 2=1 3=1 4=1 9=1
> predict restricted
> summarize restricted restcever
> drop insgrp2
> gen insgrp2=temprest
> drop temprest restricted
snip......
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