), the covariate is measured once for each tied events.
To my mind, we would introduce a useless bias in this case since the initial
partial likelihood is true.
Thank you.
--
View this message in context:
http://r.789695.n4.nabble.com/Re-Cox-model-approximaions-was-comparing-SAS-and-R-survival
On Fri, Jul 22, 2011 at 2:04 PM, Terry Therneau thern...@mayo.edu wrote:
For time scale that are truly discrete Cox proposed the exact partial
likelihood.
Or the method of partial likelihood applied to the discrete logistic model,
I call that the exact method and SAS calls it the
discrete
For time scale that are truly discrete Cox proposed the exact partial
likelihood. I call that the exact method and SAS calls it the
discrete method. What we compute is precisely the same, however they
use a clever algorithm which is faster. To make things even more
confusing, Prentice
From: thern...@mayo.edu
To: abouesl...@gmail.com
Date: Fri, 22 Jul 2011 07:04:15 -0500
CC: r-help@r-project.org
Subject: Re: [R] Cox model approximaions (was comparing SAS and R
survival)
For time scale that are truly discrete Cox
4 matches
Mail list logo