Calculo de valores p para la prevalencia de erodentina segun diferentes factores de riesgo
# load('~/Dropbox/odontologia/maestria licet/octubre
# 2013/datos_licet_13102013.RData')
load("C:/Users/usuario/Dropbox/odontologia/maestria licet/octubre 2013/datos_licet_16102013.RData")
library(survey)
## Attaching package: 'survey'
## The following object(s) are masked from 'package:graphics':
##
## dotchart
options(OutDec = ",")
library(car)
## Loading required package: MASS
## Loading required package: nnet
#
# diseniopost1$variables$erodentina1<-recode(diseniopost1$variables$erodentina,'88=NA')
# diseniopost1$variables$erodentina2<-recode(diseniopost1$variables$erodentina,'88=NA')
# diseniopost1$variables$erodentina1<-as.factor(diseniopost1$variables$erodentina1)
# diseniopost1.sub<-subset(diseniopost1,diseniopost1$variables$filtro==1)
summary(diseniopost1.sub$variables$erodentina1)
## 0 1 2 3 4 6 7 NA's
## 1086 22 17 3 6 1 1 18
summary(diseniopost1.sub$variables$erodentina2)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0,00 0,00 0,00 0,09 0,00 7,00 18
summary(diseniopost1$variables[, 432:455])
## Sexo.rec Nivel.Socieconomico.rec Nivel.Educativo.de.la.Madre1.rec
## 1-F:603 1-BAJO :572 1-Incomplete Education: 91
## 2-M:551 2-MEDIO:285 2-Basic :683
## 3-ALTO :281 3-Medium :201
## NA's : 16 4-High :137
## NA's : 42
##
##
## Tipo.de.Escuela.rec FrCepDenti.rec UsoDentifrico3.rec
## 1-Public :220 1-1 vez al dia o menos:238 1-Yes:1119
## 2-Private:934 2- 2 veces al dia :377 2-No : 25
## 3-3 o mas veces al dia:496 NA's : 10
## NA's : 43
##
##
##
## Consitencia_Cepillo.rec IGS.rec
## 1-Soft :227 1-Mas de 60 : 92
## 2-Medium:552 2-De 45 a 60 :134
## 3-Hard :183 3 -Menos o igual a 45:928
## NA's :192
##
##
##
## RefrColalight.rec JugFrutas.rec
## 2-Todos los dias :555 1-Nunca o raramente : 48
## 3-Nunca o raramente:544 2-Todos los dias :889
## Mas de 3 veces : 38 3-Mas de 3 veces al dia:204
## NA's : 17 NA's : 13
##
##
##
## Bebidas_energizantes.rec Yogurt.rec
## 1-Nunca o raramente :665 1-Mas de 3 veces al dia: 44
## 2-Todos los dias :434 2-Todos los dias :784
## Mas de 3 veces al dia: 13 3-Nunca o raramente :299
## NA's : 42 NA's : 27
##
##
##
## Bruxismo.rec BuchTragar.rec FormBeber.rec AlterGastrica.rec
## 1-No :954 1-No :839 1-Con sorbete: 80 1-No :1062
## 2-Yes:164 2-Yes:129 2-Por el pico:164 2-Yes: 63
## NA's : 36 NA's :186 3-Con vaso :902 NA's : 29
## NA's : 8
##
##
##
## MedResp.rec Natac2vec.rec bedeportediario.rec
## 1-No :959 1-No :808 1-Water :806
## 2-Yes:170 2-Yes:182 2-Gatorade:126
## NA's : 25 NA's :164 3-other : 42
## NA's :180
##
##
##
## RefrCola.rec Nive.Educativo.de.la.Madre2.rec
## 1-Nunca o raramente :141 1-ELEMENTARY SCHOOL :326
## 2-Todos los dias :720 2-HIGH SCHOOL :577
## 3-Mas de 3 veces al dia:280 3-COLLEGE-UNIVERSITY:209
## NA's : 13 NA's : 42
##
##
##
## filtro erodentina1 erodentina2
## Min. :0,000 0 :1086 Min. :0,00
## 1st Qu.:0,000 1 : 22 1st Qu.:0,00
## Median :0,000 2 : 17 Median :0,00
## Mean :0,044 4 : 6 Mean :0,09
## 3rd Qu.:0,000 3 : 3 3rd Qu.:0,00
## Max. :1,000 (Other): 2 Max. :7,00
## NA's :18 NA's : 18 NA's :18
svychisq(~Sexo.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Sexo.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 3,803, ndf = 1, ddf = 39, p-value = 0,05839
svychisq(~Nivel.Socieconomico.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Nivel.Socieconomico.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,4384, ndf = 2, ddf = 39, p-value = 0,6482
svychisq(~Nivel.Educativo.de.la.Madre1.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Nivel.Educativo.de.la.Madre1.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,764, ndf = 3, ddf = 39, p-value = 0,5212
svychisq(~Tipo.de.Escuela.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Tipo.de.Escuela.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 2,956, ndf = 1, ddf = 39, p-value = 0,0935
svychisq(~FrCepDenti.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~FrCepDenti.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,2154, ndf = 2, ddf = 39, p-value = 0,8071
svychisq(~UsoDentifrico3.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~UsoDentifrico3.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,0535, ndf = 1, ddf = 39, p-value = 0,8183
diseniopost1$variables$Consitencia_Cepillo.rec <- recode(diseniopost1$variables$Consitencia_Cepillo.rec,
"1='3-Hard';3='2-Medium';2='1-Soft'")
svychisq(~Consitencia_Cepillo.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Consitencia_Cepillo.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 6,206, ndf = 2, ddf = 39, p-value = 0,00457
svychisq(~IGS.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~IGS.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 5,96, ndf = 2, ddf = 39, p-value = 0,005512
svychisq(~RefrCola.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~RefrCola.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 1,158, ndf = 2, ddf = 39, p-value = 0,3246
svychisq(~JugFrutas.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~JugFrutas.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 1,772, ndf = 2, ddf = 39, p-value = 0,1834
svychisq(~Bebidas_energizantes_b + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Bebidas_energizantes_b + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,029, ndf = 1, ddf = 39, p-value = 0,8657
svychisq(~Yogurt_b + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Yogurt_b + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,4559, ndf = 1, ddf = 39, p-value = 0,5035
svychisq(~Bruxismo.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Bruxismo.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,1477, ndf = 1, ddf = 39, p-value = 0,7029
svychisq(~bedeportediario.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~bedeportediario.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 2,581, ndf = 2, ddf = 39, p-value = 0,08855
svychisq(~BuchTragar.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~BuchTragar.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 2,705, ndf = 1, ddf = 39, p-value = 0,1081
svychisq(~FormBeber.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~FormBeber.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,6092, ndf = 2, ddf = 39, p-value = 0,5489
svychisq(~Natac2vec.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~Natac2vec.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 0,0617, ndf = 1, ddf = 39, p-value = 0,8051
svychisq(~MedResp.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~MedResp.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 1,163, ndf = 1, ddf = 39, p-value = 0,2876
svychisq(~AlterGastrica.rec + erodentina.rec, diseniopost1, statistic = "Wald")
##
## Design-based Wald test of association
##
## data: svychisq(~AlterGastrica.rec + erodentina.rec, diseniopost1, statistic = "Wald")
## F = 26,31, ndf = 1, ddf = 39, p-value = 8,311e-06