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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 12:50:37 -0600

Again, it would be very helpful if you provided the syntax (in _Stata_) that you've already used with limited success if you'd like people to provide you with meaningful/useful answers to your query.  Although showing the SPSS equivalent may be helpful for some Stata users, it's unlikely to mean much to the majority of Stata users who may be able to better explain where things went wrong for you if you provide the syntax that you've been trying.

HTH,
Billy

On Jan 15, 2014, at 12:47 PM, Marta Garcia-Granero <[email protected]> wrote:

> El 15/01/2014 19:42, William Buchanan escribió:
>> Please provide the exact syntax you entered into Stata in addition to the output.
> 
> The output is SPSS' not Stata's. I have not been able to replicate the results in Stata, that's why I'm asking for help.
> 
> Regards,
> Marta
>> 
>> 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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