Displaying 1 result from an estimated 1 matches for "model2dres".
2004 Mar 01
1
glm logistic model, prediction intervals on impact af age 60 compared to age 30
...rmula=AEorSAEInfecBac~Age,family=binomial("logit"),data=emrisk)
#predictions for age 30 and 60
preds<-predict(model2d,data.frame(Age=c(30,60)),se.fit=TRUE)
# prediction interval
predsxx<-cbind(fit=preds$fit,lower=preds$fit-1.96*preds$se,upper=preds$fit+1.96*preds$se)
#transformation
model2dres<-family(model2d)$linkinv(predsxx)
In my next step I want to know the confidence interval (CI) for the change
in risk for the allergic event to occur for age 60 compared to age 30.
The estimates from the model suggest a 80 pct. higher risk for age 60
compared to age 30.
(100*model2dres[2]/mod...