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Re: st: Spline after Cox regression


From   Etan Lakam <etan.lakam@googlemail.com>
To   statalist <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Spline after Cox regression
Date   Sat, 6 Jul 2013 15:34:35 -0500

Thanks Nick for your reply
Yes lnffa is the variable I intended to use, it  has 1064 distinct values.
Etan

On Fri, Jul 5, 2013 at 9:18 PM, Etan Lakam <etan.lakam@googlemail.com> wrote:
> Thanks Nick for your reply
> Yes lnffa is the variable I intended to use, it  has 1064 distinct values
> Etan
>
>
> On Fri, Jul 5, 2013 at 3:28 PM, Nick Cox <njcoxstata@gmail.com> wrote:
>>
>> How many distinct values does -lnffa- have? Was that the variable you
>> meant to use?
>> Nick
>> njcoxstata@gmail.com
>>
>>
>> On 5 July 2013 21:23, Etan Lakam <etan.lakam@googlemail.com> wrote:
>> > Dear Listers,
>> > 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.
>> > Thank you in advance for your help.
>> > Best,
>> > Etan
>> >
>> >
>> > 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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