It depends on several factors. You need answers to all these questions: How many events occurred, ... and was the period of observation long enough to cover a significant fraction of the life expectancy, …. and is there external evidence or theory that will help establish that this process should follow Weibull statistics?
— David. > On Aug 17, 2015, at 2:18 PM, survivalUser <tufanomich...@hotmail.it> wrote: > > Thank you David for your answer. > > Some follow-up questions: > > - So, do you think that try to estimate the life expectancy would be risky > and probably not justifiable? Is there some sort of 'confidence' that the > model could give me for a prediction? > > - type=response - I found it here: > https://stat.ethz.ch/R-manual/R-devel/library/survival/html/predict.survreg.html > > I have not tried it yet, but I was planning to use that because it says that > predict the "original scale of the data". > > - Yes, I think they are time-varying predictors. Would you suggest other > models? (coxph?) > > Overall, do you think this analysis is feasible/correct? Predicting how much > time a new individual (with those covariates) will be alive till death, is a > reasonable thing to predict with survival model? > > Thank you again! > > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Survival-Analysis-and-Predict-time-to-death-tp4711198p4711207.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
