On Thu, 17 Jul 2003 16:32:05 +0200 Vito Muggeo <[EMAIL PROTECTED]> wrote:
> As far as I know, the Hosmer-Lemeshow test is not a good choice, as it > depends on the groups to be formed to compute the statistic. > The design and/or hmisch packages by F.Harrell should include some > alternative GoF statistics, but I didn't try. Correct. Use the more powerful one degree of freedom test of Hosmer, le Cessie, et al: f <- lrm( . . ., x=T, y=T) resid(f, 'gof') Frank > > Some weeks ago there has been a similar message about GoF test with sparse > date in logistic regression model. You could look for it and contact the > author.... > > best, > vito > > > > ----- Original Message ----- > From: Andi Felber <[EMAIL PROTECTED]> > To: <[EMAIL PROTECTED]> > Sent: Thursday, July 17, 2003 3:53 PM > Subject: [R] Hosmer- Lemeshow test > > > > dear all, > > > > i made some analysis with logistic regression. do you know if there is > > already a function available for the hosmer-lemeshow fitness test? > > > > thank you very much for the help > > > > best wishes > > > > andi > > > > ______________________________________________ > > [EMAIL PROTECTED] mailing list > > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help --- Frank E Harrell Jr Prof. of Biostatistics & Statistics Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences U. Virginia School of Medicine http://hesweb1.med.virginia.edu/biostat ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
