--- Frank E Harrell Jr <[EMAIL PROTECTED]> wrote:
> That will be a very strange model that I've never > seen used before in > survival analysis. Interpretation of parameters > other than the hazard > ratio may be tricky. Why do you need a > nontraditional model such as this? > > Frank > > -- > Frank E Harrell Jr Professor and Chair > School of Medicine > Department of Biostatistics > Vanderbilt University > I am new to the field of survival analysis and my first text read on that topic is Franses/Paap, Quantitative Models in Marketing Research, Chapter 8. There the kind of models I describe are the standard proportional hazard models. But also in Internet I find texts which say something about parametric PH models, where the baseline hazard can take some specific form! See for instance: http://www.weibull.com/AccelTestWeb/proportional_hazards_model.htm The second part reads "parametric PH models" and there is an example with the Weibull baseline distribution. The log-likelihood is derived, too. The same could be done with the other distributions I mentioned (lognormal, loglogistic, exponential). Anyway, if you say these models are untraditional, then maybe there is also no R-function for them... In that case I'll write a R-code myself to fit them using ML. Kind regards, Valentin ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html