[R] summary(svyglm) Pr ( | t |) ?

2012-08-02 Thread Diana Marcela Martinez Ruiz 

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_año + 
Perdida_peso_no_intensionada + Lenta_velocidad_marcha + 
Disminucion_fuerza_agarre + 
Hospitalizacion_ultimo_año + Urgencias_ultimo_año + 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) -3.100841.85632  -1.670   0.1104
Nivel_EducativoNinguno/No recuerda   1.525560.88735   1.719   0.1010
Nivel_EducativoPrimaria  1.162560.64404   1.805   0.0861 .  
Nivel_EducativoSecundaria0.557711.04909   0.532   0.6009

Thanks
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Re: [R] summary(svyglm) Pr ( | t |) ?

2012-08-02 Thread John Fox 
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) -3.100841.85632  -1.670
0.1104
 Nivel_EducativoNinguno/No recuerda   1.525560.88735   1.719
0.1010
 Nivel_EducativoPrimaria  1.162560.64404   1.805
0.0861 .
 Nivel_EducativoSecundaria0.557711.04909   0.532
0.6009
 
 Thanks
   [[alternative HTML version deleted]]

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Re: [R] summary(svyglm) Pr ( | t |) ?

2012-08-02 Thread Diana Marcela Martinez Ruiz 

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) -3.100841.85632  -1.670
 0.1104
  Nivel_EducativoNinguno/No recuerda   1.525560.88735   1.719
 0.1010
  Nivel_EducativoPrimaria  1.162560.64404   1.805
 0.0861 .
  Nivel_EducativoSecundaria0.557711.04909   0.532
 0.6009
  
  Thanks
  [[alternative HTML version deleted]]
 
 
  
[[alternative HTML version deleted]]

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and provide commented, minimal, self-contained, reproducible code.

Re: [R] summary(svyglm) Pr ( | t |) ?

2012-08-02 Thread John Fox 
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) -3.100841.85632  -1.670
  0.1104
   Nivel_EducativoNinguno/No recuerda   1.525560.88735   1.719
  0.1010
   Nivel_EducativoPrimaria  1.162560.64404   1.805
  0.0861 .
   Nivel_EducativoSecundaria0.557711.04909   0.532
  0.6009
  
   Thanks
 [[alternative HTML version deleted]]
 
 
 
   [[alternative HTML version deleted]]
 
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 R-help@r-project.org mailing list
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 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
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.