Sorry. You may get private replies, but this *is* way OT on this list. Try stats.stackexchange.com instead for statistical queries. Or, better yet, find local consulting help. Non-random dropouts are a difficult issue.
Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Jan 23, 2017 at 12:48 PM, Damjan Krstajic <dkrsta...@hotmail.com> wrote: > Dear All. > > > Apologies for posting a question regarding survival analysis, and not R, to > the R-help list. In the past I received the best advices from the R community. > > > The random censorship model (the censoring times independent of the failure > times and vice versa) is one of the fundamental assumptions in the survival > analysis. In the medical studies we have random entry to study and study end > which is a censoring mechanism independent of the failure times. However, in > reality we may have dropout subjects, lost to follow-up, which are censored > by a different mechanism which may not be independent of the failure times. > The inclusion of dropout subjects in the survival analysis may break the > random censorship model and include bias in our estimates of survival with > KM. I have studied papers on this subject (e.g. double sampling, copula > approach for dependent censoring), but I have not found any research paper > which examines the removal of dropout subjects from the survival analysis. > > > I am alone in my research and would be grateful to hear thoughts on this > subject. Thank you in advance and apologies for using the R-help list for my > research question. > > > DK > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
