Kåre Edvardsen <[EMAIL PROTECTED]> wrote in
news:[EMAIL PROTECTED]:
> Prof. Paul, Prof. Frank.
>
> Thank you very much for helping me out. The Design package did the
> trick.
>
> Here is how the anova table looks like without using the Design
> package:
>
>> anova(Fit1)
> Analysis of Devianc
Prof. Paul, Prof. Frank.
Thank you very much for helping me out. The Design package did the
trick.
Here is how the anova table looks like without using the Design package:
> anova(Fit1)
Analysis of Deviance Table
Cox model: response is Surv(Time, cancer)
Terms added sequentially (first to last)
Paul Johnson wrote:
> On Fri, Apr 18, 2008 at 3:06 AM, Kåre Edvardsen <[EMAIL PROTECTED]> wrote:
>> Hi all.
>>
>> If I run the simple regression when x is a categorical variable ( x <-
>> factor(x) ):
>>
>> > MyFit <-coxph( Surv(start, stop, event) ~ x )
>>
>> How can I get the overall p-value
On Fri, Apr 18, 2008 at 3:06 AM, Kåre Edvardsen <[EMAIL PROTECTED]> wrote:
> Hi all.
>
> If I run the simple regression when x is a categorical variable ( x <-
> factor(x) ):
>
> > MyFit <-coxph( Surv(start, stop, event) ~ x )
>
> How can I get the overall p-value on x other than for each dummy
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