> > Those are not proportional hazards families of > distributions. That is, if > the distribution is gaussian for one value of the > hazard ratio parameters > it will not be gaussian for any other value. > > You can get accelerated failure models with these > distributions using > survreg() in the survival package. > > > -thomas
I do not need a accelerated failure model, but a proportional hazard model with a f0= weibull, exponential, loglogistic or lognormal baseline distribution. The hazard function is lambda(t)=exp(Xi*beta)*lambda0(t), where lambda0 is the baseline hazard lambda0(t)=f0(t)/(1-F0(t)) where f0 and F0 are the baseline density and cumulative distribution functions. This is a proportional hazard model since the ratio lambda(t|Xi)/lambda(t|Xj)=exp(Xi*beta)/exp(Xj*beta) does not depend on t. Valentin ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
