[R] Doing a Cox-Regression in R and SPSS

[Bernd Weiss]

On 11 Mar 2001, at 7:51, Prof Brian D Ripley wrote:

> On Sun, 11 Mar 2001, Bernd Weiss wrote:
> 
> > computing a Cox proportional hazards model in SPSS 9.0 and
> > R 1.2.2 produces different results for beta-coefficient.
> 
[...]
> 
>   method: a character string specifying the method for tie
>   handling.
>           If there  are no tied death times all the methods
>           are equivalent. Nearly all Cox regression programs
>           use the Breslow method by default, but not this
>           one. The Efron approximation is used as the
>           default here, as it is much more accurate when
>           dealing with tied death times, and is as efficient
>           computationally. The exact method computes the
>           exact partial likelihood, which is equivalent to a
>           conditional logistic model.  If there are a large
>           number of ties the computational time will be
>           excessive.
> 
[...]

<coxph(Surv(t,s)~x, method="breslow", data=coxdata)> works 
fine. 

Thanks for your help.

Bernd


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Bernd Weiß (bernd.weiss at epost.de)
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