Message-ID: <3EDC8F3F.90504@deprem.gov.tr>
Date: 2003-06-03T12:06:23Z
From: orkun
Subject: coefficient of logistic regression
In-Reply-To: <5.1.0.14.2.20030603065307.01e9dbe0@mcmail.cis.mcmaster.ca>
John Fox wrote:
> At 11:54 AM 6/3/2003 +0300, orkun wrote:
>
>> in logistic regression,
>> I want to know that it is possible to get probability values of each
>> predictors by
>> using following formula for each predictor one by one (keeping
>> constant the others)
>> <<< exp(coef)/(1+exp(coef)) >>>
>
>
> Dear Ahmet,
>
> This will almost surely give you nonsense, since it produces a fitted
> probability ignoring the constant in the model (assuming that there is
> one), setting other predictors to 0 and the predictor in question to
> 1. What is it that you want to do?
>
> I hope that this helps,
> John
>
> -----------------------------------------------------
> John Fox
> Department of Sociology
> McMaster University
> Hamilton, Ontario, Canada L8S 4M4
> email: jfox at mcmaster.ca
> phone: 905-525-9140x23604
> web: www.socsci.mcmaster.ca/jfox
> -----------------------------------------------------
>
>
>
thank you
Say, I just want to find each predictor's particular effect on dependent
variables.
Actual model is to prepare landslide susceptibility map on GIS. So I
want to know
what the effect as probability value comes from each predictor. For
instane what is the effect
of slope on landslide susceptibility. Should I keep others constant ?
kind regards
______________________________________
______________________________________
The views and opinions expressed in this e-mail message are the ... {{dropped}}