Re: [R] standard error of Binary logistic regression coefficient.

Hi, Just to extend the excellent suggestions, if you are interested in the odds ratio, you can just use exp(): #Odds Ratio exp(fit4$coefficients) #Confidence interval around OR exp(confint(fit4)) To give you an idea graphically of the log odds (or logit) look at: p <- seq(0, 1, by = .001) plot

Re: [R] standard error of Binary logistic regression coefficient.

On Tue, 27 Jul 2010, John Sorkin wrote: Do not worry about the SE. The SE listed on the output is the SE of the log odds. You can use the estimate (beta) and SE from the listing to compute a confidence interval (CI)as follows: CI exp(beta-1.96*SE) to exp(beta-1.96*SE) The standard errors can

Re: [R] standard error of Binary logistic regression coefficient.

Do not worry about the SE. The SE listed on the output is the SE of the log odds. You can use the estimate (beta) and SE from the listing to compute a confidence interval (CI)as follows: CI exp(beta-1.96*SE) to exp(beta-1.96*SE) John John Sorkin Chief Biostatistics and Informatics Univ. of Maryla