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Re: st: Spline after Cox regression


From   Nick Cox <njcoxstata@gmail.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Spline after Cox regression
Date   Tue, 9 Jul 2013 18:24:31 +0100

I was explaining the error message, not commenting on your strategy.
Perhaps you should look at -margins- and -marginsplot-.
Nick
njcoxstata@gmail.com


On 9 July 2013 15:27, Etan Lakam <etan.lakam@googlemail.com> wrote:
> 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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