6.0 Logistic_Univariate


#载入包
library(epiDisplay)

#单因素logistic


fit1<-glm(formula = MACE ~ Age 
         , family = binomial(), 
         data = Vdata2)


fit2<-glm(formula = MACE ~ Hypertention 
          , family = binomial(), 
          data = Vdata2)

fit3<-glm(formula = MACE ~ Hhcy 
          , family = binomial(), 
          data = Vdata2)

fit4<-glm(formula = MACE ~ HF 
          , family = binomial(), 
          data = Vdata2)

fit5<-glm(formula = MACE ~ Sent 
          , family = binomial(), 
          data = Vdata2)

fit6<-glm(formula = MACE ~ Killip 
          , family = binomial(), 
          data = Vdata2)

fit7<-glm(formula = MACE ~ VD3LM 
          , family = binomial(), 
          data = Vdata2)

fit8<-glm(formula = MACE ~ LDLC 
          , family = binomial(), 
          data = Vdata2)

fit9<-glm(formula = MACE ~ LVEF_F
          , family = binomial(), 
          data = Vdata2)


#查看单因素结果
logistic.display(fit1)
logistic.display(fit2)
logistic.display(fit3)
logistic.display(fit4)
logistic.display(fit5)
logistic.display(fit6)
logistic.display(fit7)
logistic.display(fit8)
logistic.display(fit9)
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