Dear all, I am now doing the logistic regression using R. (glm, family=binomial). Besides the standardize summary statistics generated from R, I am also interested in some more informations concerning the model fitting / prediction etc; Particularly I am interested in "pseudo R squar" and "C statistic". I searched the R- help and could only get very limited information. (Post by Frank Harrell mentioning about "the somers2 or rcorr.cens functions in the Hmisc library." ) However, I tried but still could not get through it. Also I found someone mentioned about do it manually.
Could someone give me a more detailed information on how I could get these two summary statistics after performed the the logistic regression using glm? Thank you very much. *********************************************** Xiaojing Wang PhD Research Assistant Professor, Dept. of Oral Biology School of Dental Medicine, University of Pittsburgh Suite 500, Bridgeside Point 100 Technology Drive Pittsburgh, PA 15219 Tel:412-648-9206 Fax:412-648-8779 Email:[EMAIL PROTECTED] *********************************************** [[alternative HTML version deleted]] ______________________________________________ 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.