
Thanks for the info, but with the anova () is obtained  p_valor of Wald test for 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


Thanks

> From: jfox@mcmaster.ca
> To: dianammr06@hotmail.com
> CC: r-help@r-project.org; tlumley@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-bounces@r-project.org [mailto:r-help-bounces@r-project.org]
> > On Behalf Of Diana Marcela Martinez Ruiz
> > Sent: August-02-12 4:14 PM
> > To: Ayuda en R; tlumley@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]]
> 
> 
 		 	   		  
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