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Re: st: Spline after Cox regression
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
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
[email protected]
On 9 July 2013 15:27, Etan Lakam <[email protected]> wrote:
> 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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