Re: variable selection in logistic regression
From: Ita Cirovic (cirovic_at_usc.edu)
Date: 11/29/04
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Date: Mon, 29 Nov 2004 11:04:11 +0100
Hi,
I am not sure if this would help but I did one project using logistic
regression where I had some continuous variables also. What I did was to use
stepwise regression both ways and then analyzed each explanatory variable
wrt the response variable, basically mini modeling. So in the end you get
some sort of a justification for the stepwise regression. So basically in
the end you can compare the results of the mini modeling and the stepwise
regression and then decide what could make sense or which variables to
include in the model.
Ita
"Tommi" <t_kujanpaa@hotmail.com> wrote in message
news:cnct7v$g56$1@epityr.hut.fi...
> Hello!
> I made some experiments with SPSS and logistic regression.
> I am trying to explain binary coded variable with the help of some binary,
> some continuous explanatory variables.
> I used the method called forward (Wald) in SPSS for variable selection,
> and
> some of my explanatory variables were discarded and some were taken in the
> final model.
>
> If I had to justify why the Forward (Wald) method works/doesn't work for
> my
> case, is there any help in Web, or can you give me literature references
> where I can get some more light on the subject (which I am not yet so
> acquinted with)?
> I would be thankful if you could also help me with these other selection
> methods, for example LR forward and so on.
>
>
> Thanks very much!
>
> Tommi
>
>
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