Date:         Sun, 18 Mar 2012 13:49:47 -0300
Reply-To:     Hector Maletta <hmaletta@fibertel.com.ar>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Hector Maletta <hmaletta@fibertel.com.ar>
Subject:      Re: SPSS: random effect in multivariate logistic regression
Comments: To: vishal <vsuthar28@HOTMAIL.COM>
In-Reply-To:  <1331979777654-5573358.post@n5.nabble.com>
Content-Type: text/plain; charset="us-ascii"

Vishal,
Generalized Linear Models, through the GENLINMIXED procedure (introduced in
Version 19), provide the capability you mention. In these models, a linear
combination of predictors (the familiar sum of bX) is linked to the
dependent variable via a "link function". Link functions include (among
others) the logistic function, where the probability of an event is EXP(sum
of BX) / [1 + EXP(sum of bX)]. You can have any mixture of nominal, ordinal
and interval-scale predictors, producing fixed or random effects, including
multi-level models where the effects at micro level depend on variables at
higher levels.

There are, however, some problems with that procedure. One of them is that
it precludes the use of fractional weights (they are rounded before using,
so that any weight lower than 0.5 is rounded to zero, and the case
eliminated).

Hope this helps.

Hector

-----Mensaje original-----
De: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] En nombre de
vishal
Enviado el: Saturday, March 17, 2012 07:23
Para: SPSSX-L@LISTSERV.UGA.EDU
Asunto: SPSS: random effect in multivariate logistic regression

I am a PhD student here in Germany. Recent days I am dealing with
epidemiological data. I would like to perform a multivariate logistic
regression adjusting random effect. Is it possible in SPSS? If yes, How? I
searched that it is possible in SAS however I am not sure in SPSS.  Please
help me. Thank you

Vishal

-----
vishal suthar
--
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