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Re: st: Spline after Cox regression
From
Etan Lakam <[email protected]>
To
[email protected]
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 <[email protected]> wrote:
> So, -adjust- is evidently objecting to being asked to do something 1064 times.
>
> Nick
> [email protected]
>
> 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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