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Re: st: stcurve: why two different graphs?


From   Steve Samuels <[email protected]>
To   [email protected]
Subject   Re: st: stcurve: why two different graphs?
Date   Fri, 30 Nov 2012 15:25:49 -0500

This is for someone age = 0 The youngest age in the drug treatment
data set is 47, so the model is extrapolating way outside the range of
the data. Your mistake is in thinking that if a covariate has value zero, 
it is not in the model.  The "intercept" h0 is not the same
in the two models.


Simple example with regress.
*******************
input x y
40  40
50  50
60  60
end
regress y     // intercept is mean 
regress y x   // intercept is y value at x = 0
************** 

Steve

On Nov 30, 2012, at 2:25 PM, Oliver Eger wrote:

Dear Steve,


thanks for your answer!

I vow to improve my statalist questions next time;-)

Your stata commands with the drugtr example brings my question to the point.

*************CODE BEGINS*************
webuse drugtr, clear

stcox , estimate basehc(bhc)
sts graph,hazard  saving(g00.gph, replace) ///
  title("Smoothed KM")
stcurve, hazard saving(g01, replace)  ///
  title("Smoothed Cox Baseline Hazard")

*************CODE INTERRUPTED *******
The first two graphs are identical, I can understand that. Kaplan-Meier hazard graph = stcox null model graph.

But I don´t understand, why the third graph is different from the others:

*************CODE CONTINOUS *********
stcox age drug
stcurve, hazard at(age=0 drug=0)  ///
    title("Cox  Age=0 Drug=0")saving(g02, replace)

*************CODE ENDS **************

I have in mind the formula, given by the stata press book "an introduction to survival analysis using stata", third edition, by Cleves et al, page 129:

    h(t|xj) = h0(t) exp(xjßj)

If the covariates xj = 0, as in your third example, then only h0(t) remains in the formula and should give the same graph as your first and second example.

Why don´t they?

I would be happy, if you could help me.

Best regards
Oliver


________________________________
Von: Steve Samuels <[email protected]>
An: [email protected] 
Gesendet: 3:57 Dienstag, 16.Oktober 2012
Betreff: Re: st: stcurve: why two different graphs?

Dear Oliver:

The Statalist standard is to use full real
names. Please do so in the future.

We don't know what you saw, but models with and without covariates are
very different. Note that the FAQ ask that when you observe a problem,
you demonstrate it if possible on an available data set. Here is an
extreme counter-example, which works because age = 0 is outside the
range of the data.

*************CODE BEGINS*************
webuse
drugtr, clear

stcox , estimate basehc(bhc)
sts graph,hazard  saving(g00.gph, replace) ///
   title("Smoothed KM")
stcurve, hazard saving(g01, replace)  ///
   title("Smoothed Cox Baseline Hazard")
stcox age drug
stcurve, hazard at(age=0 drug=0)  ///
    title("Cox  Age=0 Drug=0")saving(g02, replace)
graph combine g00.gph g01.gph g02.gph,  ///
ycommon xcommon  saving(g03, replace)
**************CODE ENDS**************

Steve


On Oct 15, 2012, at 5:12 PM, [email protected] wrote:

Dear Statalisters,


unfortunately I got no answer yet, but maye now someone has an idea;-):

Stata command 

sts graph, hazard 

gives the same graph to me as

    stcox, estimate basehc(bhc)
  stcurve, hazard

I can understand that.
Kaplan-Meier hazard graph = stcox null modell.

But, why don´t I get the same result, if I
write

    stcox var1 var2 var3 var4, basehc(bhc)
    stcurve, hazard at(var1=0 var2=0 var3=0 var4=0)

?

The graph is similar, but not identical. Is this not the same as above?


Thanks!

Best
Oliver

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