On Nov 28, 2012, at 2:49 PM, Maziar Mohaddes wrote: > The nice thing with R (in contrary to point and click statistical > software) and this community is that you learn alot. Well u are forced to > in order ro be able to ask the question :-) > I am not only refering to codes provided helping me in the analysis but > also pure statistical learning.
Yes. That is very true. The statisticians using R do not generally think that all the methods promulgated by the SAS and SPSS manuals are correct. I find it a challenge to keep the boundary between what I do know and do not know clear to myself. From time to time it becomes clear that I have stepped over than line and I generally hear about it quickly. This I think is good thing. > What I am trying to plot is a true adjusted survival curve and I realise > that survfit from coxph prob is not the right way to go. There was an article a couple of years ago in JAMA from a group in Canada advocating for one version of a "true adjusted survival curve" rather than what might be called the naive "survival curve of the means." I don't think it matters much, myself. > > Thanks Chris for the code and thank you Terry. Will google to find the book > and read the chapter you suggested. > > [[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. David Winsemius, MD Alameda, CA, USA ______________________________________________ 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.
