Re: [R] Cox model approximaions (was comparing SAS and R survival....)

2012-04-02 Thread AO_Statistics
), 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

Re: [R] Cox model approximaions (was comparing SAS and R survival....)

2011-07-24 Thread Göran Broström
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

Re: [R] Cox model approximaions (was comparing SAS and R survival....)

2011-07-22 Thread Terry Therneau
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

Re: [R] Cox model approximaions (was comparing SAS and R survival....)

2011-07-22 Thread Mike Marchywka
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