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: 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.
