Michael, You are looking to compute an estimated time to death -- rather than the odds of death conditional upon time. Thus, you will want to use "time to death" as your dependent variable rather than a dichotomous outcome ( 0=alive, 1=death). You can accomplish this with a straight forward regression analysis.
Best, Jim On Thu, Nov 11, 2010 at 3:44 AM, Michael Haenlein <haenl...@escpeurope.eu>wrote: > Dear all, > > I'm struggling with predicting "expected time until death" for a coxph and > survreg model. > > I have two datasets. Dataset 1 includes a certain number of people for > which > I know a vector of covariates (age, gender, etc.) and their event times > (i.e., I know whether they have died and when if death occurred prior to > the > end of the observation period). Dataset 2 includes another set of people > for > which I only have the covariate vector. I would like to use Dataset 1 to > calibrate either a coxph or survreg model and then use this model to > determine an "expected time until death" for the individuals in Dataset 2. > For example, I would like to know when a person in Dataset 2 will die, > given > his/ her age and gender. > > I checked predict.coxph and predict.survreg as well as the document "A > Package for Survival Analysis in S" written by Terry M. Therneau but I have > to admit that I'm a bit lost here. > > Could anyone give me some advice on how this could be done? > > Thanks very much in advance, > > Michael > > > > Michael Haenlein > Professor of Marketing > ESCP Europe > Paris, France > > [[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. > -- *James C. Whanger Research Consultant 2 Wolf Ridge Gap Ledyard, CT 06339 Phone: 860.389.0414* [[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.
