Dear all, I'm running a coxph model of the form: coxph(Surv(Start, End, Death.ID) ~ x1 + x2 + a1 + a2 + a3)
Within this model, I would like to compare the influence of x1 and x2 on the hazard rate. Specifically I am interested in testing whether the estimated coefficient for x1 is equal (or not) to the estimated coefficient for x2. I was thinking of using a Chow-test for this but the Chow test appears to work for linear regression only (see: http://en.wikipedia.org/wiki/Chow_test). Another option I was thinking of is to estimate an alternative model in which the coefficients for x1 and x2 are constraint to be equal and to compare the fit of such a constraint model with the one of an unconstraint one. But again I'm not sure how this can be done using coxph. Could anyone help me out on this please? Thanks, Michael Michael Haenlein Associate Professor of Marketing ESCP Europe Paris, France [[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.
