Dear Diana,
> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Diana Marcela Martinez Ruiz
> Sent: August-02-12 5:00 PM
> To: j...@mcmaster.ca; tlum...@uw.edu; Ayuda en R
> Subject: Re: [R] summary(svyglm) Pr (> | t |) ?
>
>
> Thanks for the info, but with the anova () is obtained p_valor of Wald
test for
The standard anova() provides sequential ("type I") tests; by default,
Anova() in car provides partial ("type II") tests.
> the variable level of education, I want to see the nievel p_valor in view
of this
> variable as a dummy, so I wonder if in summary (mod. logis) the Pr (> | t
|)
> lets me know if each level is significant in the model
This is no different for svyglm() than for any model in R with a linear
predictor; the individual t-tests are for (partial) differences between each
other level and the reference level for the set of contrasts (dummy
regressors); if this is what you're interested in (and of course the
reference level isn't arbitrarily chosen), then you can use the t-tests for
the coefficients.
Best,
John
>
>
> Thanks
>
> > From: j...@mcmaster.ca
> > To: dianamm...@hotmail.com
> > CC: r-help@r-project.org; tlum...@uw.edu
> > Subject: RE: [R] summary(svyglm) Pr (> | t |) ?
> > Date: Thu, 2 Aug 2012 16:50:37 -0400
> >
> > Dear Diana,
> >
> > The Anova() function in the car package will produce a Wald test for
> > each term in a model fit by svyglm().
> >
> > I hope this helps,
> > John
> >
> > > -----Original Message-----
> > > From: r-help-boun...@r-project.org
> > > [mailto:r-help-boun...@r-project.org]
> > > On Behalf Of Diana Marcela Martinez Ruiz
> > > Sent: August-02-12 4:14 PM
> > > To: Ayuda en R; tlum...@uw.edu
> > > Subject: [R] summary(svyglm) Pr (> | t |) ?
> > >
> > >
> > > Hello
> > >
> > > I want to know if the summary of the logistic model with survey Pr
> > > (> | t
> > |) to
> > > test if the coefficient of the model is significant, ie is the
> > > p_valor
> > wald test
> > > for the model coefficients, for I am interested to know if the
> > > three
> > levels of
> > > the variable educational level are significant to the model
> > > (significance
> > of
> > > handling 0.2), I present below the results of my model
> > >
> > > summary(mod.logis)
> > >
> > > Call:
> > > svyglm(formula = APES_DICOT ~ Nivel_Educativo + Ocupacion_principal +
> > > Afiliacion_salud + Tiene_cuidador + Presencia_enfer_cronica +
> > > Consumo_tabaco + Consumo_alcohol + Presencia_Dolor +
> > > Frec_dolor_cronico +
> > > Punt_min_mental + ABC_fis + ABC_instr + Anergia +
> > > Actividad_fisica_ultimo_aqo +
> > > Perdida_peso_no_intensionada + Lenta_velocidad_marcha +
> > > Disminucion_fuerza_agarre +
> > > Hospitalizacion_ultimo_aqo + Urgencias_ultimo_aqo + Miedo_caer,
> > > design = Muestra.comp, family = quasibinomial())
> > >
> > > Survey design:
> > > svydesign(id = ~b, strata = ~d, nest = TRUE, weights = ~c, data =
am18,
> > > fpc = ~e)
> > >
> > > Coefficients:
> > > Estimate Std. Error t value
> > Pr(>|t|)
> > > (Intercept) -3.10084 1.85632 -1.670
> > 0.1104
> > > Nivel_EducativoNinguno/No recuerda 1.52556 0.88735 1.719
> > 0.1010
> > > Nivel_EducativoPrimaria 1.16256 0.64404 1.805
> > 0.0861 .
> > > Nivel_EducativoSecundaria 0.55771 1.04909 0.532
> > 0.6009
> > >
> > > Thanks
> > > [[alternative HTML version deleted]]
> >
> >
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
