title: Confidence intervals for predictions from logistic regression
body: <p>In R predict.lm computes predictions based on the results from linear regression and also offers to compute confidence intervals for these predictions. According to the manual, these intervals are based on the error variance of fitting, but not on the error intervals of the coefficient. </p>
  
  <p>On the other hand predict.glm which computes predictions based on logistic and Poisson regression (amongst a few others) doesn't have an option for confidence intervals. And I even have a hard time imagining how such confidence intervals could be computed to provide a meaningful insight for Poisson and logistic regression.</p>
  
  <p>Are there cases in which it is meaningful to provide confidence intervals for such predictions? How can they be interpreted? And what are the assumptions in these cases?</p>