Hi, I'm using the rms package to do regression analysis using the lrm function. Retrieving odds ratios is possible using summary.rms. However, I could not find any information on how exactly the odds ratios for continuous variables are calculated. It doesn't appear to be the odds ratio at 1 unit increase, because the output of summary.rms did not match the coefficient's value.
E.g. print gives me: Coef S.E. Wald Z Pr(>|Z|) age 0.1166 0.0289 4.04 <0.0001 whereas summary gives me: Factor Low High Diff. Effect S.E. Lower 0.95 Upper 0.95 age 27.0000 37.00000 10.0000 0.78 0.20 0.40 1.17 Odds Ratio 27.0000 37.00000 10.0000 2.19 NA 1.49 3.22 Does anybody know how these values are obtained, especially in the presence of interactions? Best regards, Sebastian ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.