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Re: st: Cox model with a segmented time-dependent covariate
From
William Buchanan <[email protected]>
To
[email protected]
Subject
Re: st: Cox model with a segmented time-dependent covariate
Date
Wed, 15 Jan 2014 12:42:14 -0600
Please provide the exact syntax you entered into Stata in addition to the output.
Thank you,
Billy
On Jan 15, 2014, at 12:27 PM, Marta Garcia-Granero <[email protected]> wrote:
> I am trying to replicate some SPSS commands in Stata. This data were modified from David Collett (2003) Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science), and show a hypothetical clinical trial on 12 patients. I want to test if treatment is significant, adjusted for age and ln(bilirrubin). Ln(bilirrubin) were measured 3 times: at baseline (lbr0); approximately at 3 months -with the exact day recorded in t1 (lbr1); and approximately at 6 months - with exact day recorded in t2 (lbr2).
>
> +----------------------------------------------------------------------------+
> | patient time status treatment age lbr0 t1 lbr1 t2 lbr2 |
> |----------------------------------------------------------------------------|
> 1. | 1 281 Died Placebo 46 3.2 47 3.8 184 4.9 |
> 2. | 2 604 Alive Placebo 57 3.1 94 2.9 187 3.1 |
> 3. | 3 457 Died Placebo 56 2.2 61 2.8 97 2.9 |
> 4. | 4 384 Died Placebo 65 3.9 92 4.7 194 4.9 |
> 5. | 5 341 Alive Placebo 73 2.8 87 2.6 192 2.9 |
> |----------------------------------------------------------------------------|
> 6. | 6 842 Died Placebo 64 2.4 94 2.3 197 2.8 |
> 7. | 7 1514 Died Treatment 69 2.4 74 2.9 202 3 |
> 8. | 8 182 Alive Treatment 62 2.4 90 2.5 182 2.9 |
> 9. | 9 1121 Died Treatment 71 2.5 101 2.5 410 2.7 |
> 10. | 10 1411 Alive Treatment 69 2.3 182 2.2 847 2.8 |
> |----------------------------------------------------------------------------|
> 11. | 11 814 Died Treatment 77 3.8 167 3.9 498 4.3 |
> 12. | 12 1071 Died Treatment 58 3.1 108 2.8 187 3.4 |
> +----------------------------------------------------------------------------+
>
> With SPSS, I had to define a time varying covariate (T_COV_) and add it to the model:
>
> TIME PROGRAM.
> COMPUTE T_COV_ = (T_<t1)*lbr0 + (T_>=t1&T_<t2)*lbr1 + (T_>=t2)*lbr2.
> COXREG time
> /STATUS=status(1)
> /CONTRAST (treatment)=Indicator
> /METHOD=ENTER T_COV_ treatment age.
>
> In SPSS, T_ is the same as Stata's _t.
>
> This is the output:
> coef se HR ----95%CI------ LR de sig
> T_COV_ 4.533 2.488 93.05 0.71 12192.54 10.865 1 0.001
> Treatment 4.749 2.860 115.50 0.42 31421.66 5.814 1 0.016
> Age -0.078 0.094 0.93 0.77 1.11 0.808 1 0.369
>
> With Stata, I suspect I have to use, somehow, -stsplit- and -stjoin- , but I can't figure how (even though I have used help stsplit, and read the whole PDF on stcox).
>
> Any hints?
>
> Thanks,
> Marta Garcia-Granero
>
> *
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> * http://www.ats.ucla.edu/stat/stata/
*
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