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]] ______________________________________________ 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.