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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   Wed, 10 Jul 2013 22:53:06 -0500

Hi,
I have tried the mvrs instead to do the spline regression.
It works  but I have no clue on how to draw the relationship between
lnffa and the log hazard ratio,  after the regression, including the
95%CI around the curve.
Many thanks
Etan


On Tue, Jul 9, 2013 at 4:24 PM, Etan Lakam <etan.lakam@googlemail.com> wrote:
> Thanks, will try it and let you know.
> Etan
>
> On Tue, Jul 9, 2013 at 1:24 PM, Nick Cox <njcoxstata@gmail.com> wrote:
>> 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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