- 1. baseline hazard in Splus (score: 1)
- Author: Eric Wajnberg <wajnberg@sophia.inra.fr>
- Date: Fri, 14 Mar 2008 13:06:18 +0100
- Dear all, There is something I do not understand in fitting a cox regression model in Splus. Ok, I have a model fitted that way: fit<-coxph(Surv(start,stop,event)~ "list of covariates") I know I can
- /archives/html/s-news/2008-03/msg00032.html (8,046 bytes)
- 2. Re: baseline hazard in Splus (score: 1)
- Author: Terry Therneau <therneau@mayo.edu>
- Date: Mon, 17 Mar 2008 11:50:56 -0500 (CDT)
- The question was why coxph.detail(fit) and survfit(fit) give different answers for a fitted Cox model. The answer is that they do give the same answers for me. T [1] 0.9342723 9.7276995 Now, my guess
- /archives/html/s-news/2008-03/msg00040.html (8,589 bytes)
- 3. Re: baseline hazard in Splus (score: 1)
- Author: Eric Wajnberg <wajnberg@sophia.inra.fr>
- Date: Tue, 18 Mar 2008 12:06:36 +0100
- Ok, thanks for this reply (and thanks to Matt Austin who also helps). Now I see. My misunderstanding is that I was sure that the coxph.detail()$hazard was the **baseline** hazard (i.e., with all cova
- /archives/html/s-news/2008-03/msg00042.html (11,315 bytes)
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