Dear users, I was wondering if anyone did know how to calculate (or find with SPSS 6.0-10.05) confidence bounds for point estimates based upon the logistic regression equations. For example if you have equation and you put different values in it to get predicted probabilities for a man who has smoking tobacco, is 60 years old and lives in the capital city. You get predicted probabilities (when you have transfomed logit) of .695 (or 70%). In some programs you can get confidence intervals for probabilities (or .61 and .77). SPSS can not report such estimates. Neverthless, it is possible compute it by hand if you know the covariance matrix of the model parameter estimates (Var(a), Var(B) etc and Cov (a, B) etc). Does anyone know how to do it in SPSS? Thanks in advance. =========================================================================== This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===========================================================================
