Re: [R] get the wald chi square in binary logistic regression

From: <severine.erhel_at_free.fr>
Date: Tue 09 Aug 2005 - 03:12:47 EST

th,ks for your help,

i don't have this package on my R, do you know an other package that have this test...thanks

Selon Renaud Lancelot <renaud.lancelot@cirad.fr>:

> severine.erhel@free.fr a écrit :
> > hello,
> >
> > I work since a few time on R and i wanted to know how to obtain the Wald
> chi
> > square value when you make a binary logistic regression. In fact, i have
> the z
> > value and the signification but is there a script to see what is the value
> of
> > Wald chi square. You can see my model below,
> > Best regards,
> >
> > Séverine Erhel
> >
> If you want a global test for several coeff associated with the same
> variable (e.g., form or criter2 in your example), you can fit the model
> without the variable and compare the 2 models with a likelihood ratio
> test (function anova): it is safer than the Wald test.
>
> If you really want the Wald test, it is available in different packages:
> see for example the function wald.test in package aod.
>
> Best,
>
> Renaud
>
>
> >
> >
> >
> >
> > [Previously saved workspace restored]
> >
> >
> >
> >>m3 = glm(reponse2 ~ form + factor(critere2)
> ,family=binomial,data=mes.donnees)
> >> summary (m3)
> >
> >
> > Call:
> > glm(formula = reponse2 ~ form + factor(critere2), family = binomial,
> > data = mes.donnees)
> >
> > Deviance Residuals:
> > Min 1Q Median 3Q Max
> > -2.5402 0.2064 0.3354 0.4833 1.4177
> >
> > Coefficients:
> > Estimate Std. Error z value Pr(>|z|)
> > (Intercept) 0.5482 0.3930 1.395 0.1631
> > form Illustration 3.2904 0.6478 5.080 3.78e-07 ***
> > form Texte+illustration 2.6375 0.4746 5.557 2.74e-08 ***
> > factor(critere2)2 -1.0973 0.5103 -2.150 0.0315 *
> > factor(critere2)3 -0.9891 0.5107 -1.937 0.0528 .
> > ---
> > Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
> >
> > (Dispersion parameter for binomial family taken to be 1)
> >
> > Null deviance: 227.76 on 218 degrees of freedom
> > Residual deviance: 162.11 on 214 degrees of freedom
> > AIC: 172.11
> >
> > Number of Fisher Scoring iterations: 5
> >
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>
>
> --
> Dr Renaud Lancelot, vétérinaire
> Projet FSP régional épidémiologie vétérinaire
> C/0 Ambassade de France - SCAC
> BP 834 Antananarivo 101 - Madagascar
>
> e-mail: renaud.lancelot@cirad.fr
> tel.: +261 32 40 165 53 (cell)
> +261 20 22 665 36 ext. 225 (work)
> +261 20 22 494 37 (home)
>



R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Tue Aug 09 03:18:31 2005

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