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Re: st: Spline after Cox regression


From   Etan Lakam <etan.lakam@googlemail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Spline after Cox regression
Date   Tue, 9 Jul 2013 10:27:39 -0400

How do I circumvent this problem then?
Etan

On Sun, Jul 7, 2013 at 2:19 AM, Nick Cox <njcoxstata@gmail.com> wrote:
> So, -adjust- is evidently objecting to being asked to do something 1064 times.
>
> Nick
> njcoxstata@gmail.com
>
> Etan Lakam
>
>> Thanks Nick for your reply
>> Yes lnffa is the variable I intended to use, it  has 1064 distinct values.
>
> Nick Cox
>
>>>> How many distinct values does -lnffa- have? Was that the variable you
>>>> meant to use?
>
> Etan Lakam
>
>>>> > I am doing Cox-regression with a continuous exposure ffa and the
>>>> > outcome hf, I have been trying to model it as  cubic spline.
>>>> > Here is how I approached it, adjusting for age, sex, and race, however
>>>> > it is coming up with the message error below, and I cannot obtain the
>>>> > graph
>>>> > I do not have a clue about what is happening.
>
>>>> > mkspline  rlnffa= lffa, cubic nknots(5)
>>>> > stcox rlnratio* sex race age
>>>> > adjust race=0 sex=1 age, by(lnffa) ci replace exp
>>>> >
>>>> > ------------------------------------------------------------------------------------------
>>>> >      Dependent variable: _t     Command: stcox
>>>> >    Variables left as is: rlnffa1, rlnffa2
>>>> >   Covariate set to mean: age = 53.900191
>>>> > Covariates set to value: race = 0, sex = 1
>>>> >
>>>> > ------------------------------------------------------------------------------------------
>>>> > too many values
>>>> > r(134);
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