Hi, I'm estimating a loglogistic aft (accelerated failure time) model, just a simple plain vanilla one (without time dependent covariates), I'm comparing the results that I obtain between aftreg (eha package) and survreg(surv package). If I don't use any covariate the results are identical , if I add covariates all the coefficients are the same until a precision of 10^4 or 10^-5 except for the intercept term(in survreg)=log(scale) (in aftreg) that are similar but with a worse precision of 10^-1 or 10^-2. Any idea of why this happens? Probably the different covariates coefficients have a so big influence on the intercept term? Thank you
Immanuel -- View this message in context: http://r.789695.n4.nabble.com/aftreg-vs-survreg-loglogistic-aft-model-different-intercept-term-tp3059250p3059250.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
