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Re: st: Re: limiting observations within a program


From   Michael McCulloch <[email protected]>
To   [email protected]
Subject   Re: st: Re: limiting observations within a program
Date   Thu, 2 Oct 2008 17:24:22 -0700

Martin wrote:
`X' looks like some kind of -macro- but I cannot find its definition, either...
Ahah! Thank you. Now I know what proper question to ask. Let me try this again. Note that the section mentioning X:

" indeplist, local
foreach var of varlist `X' {
return scalar `var' = exp(_b[`var'])
}"

immediately follows the -stcox-. What I want to do is to have it give me the exponentiated coefficient so the hazard ratio is returned. How would I rewrite that section to do this?




HTH
Martin
_______________________
----- Original Message ----- From: "Michael McCulloch" <[email protected]>
To: <[email protected]>
Sent: Friday, October 03, 2008 2:12 AM
Subject: Re: st: Re: limiting observations within a program

Sergei wrote:
And where is varlist X defined?
Thanks Sergei. Sorry, not sure what you mean. I've defined the tempnames with:
tempname p_tcm_ALL p_notcm_ALL p_ALL p_noALL wt_stab_ALL
And, the variables are all within my dataset:
tcm dxage sex celltype txsurg txrad txchemo





On Thu, Oct 2, 2008 at 7:56 PM, Michael McCulloch <[email protected]> wrote:
Thanks Martin. This is my program. It first estimates probability of
receiving treatment (called "tcm"), and then weights the data for -stcox-.
There was one observation in which the weight was missing, I'm attempting to
include a line in my program to drop that one observation.

capture program drop msmcox_stageALL_includeIPTWd
program define msmcox_stageALL_includeIPTWd, rclass
 >        tempname p_tcm_ALL              p_notcm_ALL     p_ALL p_noALL
 >         wt_stab_ALL
        * fit the full model used in Traditional Cox
 >        logit tcm dxage sex celltype txsurg txrad txchemo
        *estimate probability of treatment
        predict `p_tcm_ALL'
        gen `p_notcm_ALL' = 1-`p_tcm_ALL' if tcm==0     //want p(tcm) for
 both users and nonusers
        replace `p_tcm_ALL' =`p_notcm_ALL' if tcm==0

        *create stabilized weight==P(A)/P(A|W)
        logit tcm        predict `p_ALL'
        gen `p_noALL'           =       1-`p_ALL' if tcm==0
        replace `p_ALL' =       `p_noALL' if tcm==0
        gen `wt_stab_ALL'       =       `p_ALL'/`p_tcm_ALL'

        * stset the data
        stset lastcontact [`iweight=wt_stab_ALL'], failure(failed)
 origin(datedx) scale(30.4375)   /*wt: stabilized IPTW*/

        * cox
                stcox tcm if `wt_stab_ALL'!=.
        indeplist, local
        foreach var of varlist `X' {
                return scalar `var' = exp(_b[`var'])
        }
 end set seed 12358
 eststo MSM_t_I: bootstrap tcm=r(tcm), eform reps(10):
 msmcox_stageALL_includeIPTWd


That is too little info. How does `var1' come into existence? A
-bootstrap- would cycle through the -program- several times, so that is an
important issue. Also -set trace on- and let us know the output...

HTH
Martin
_______________________
----- Original Message ----- From: "Michael McCulloch" <[email protected]>
To: "Statalist" <[email protected]>
Sent: Friday, October 03, 2008 1:10 AM
Subject: st: limiting observations within a program


 Hello,
 I've written a short program which estimates a probability of censoring,
 and have a question. The program works as written, but if I add the
 following line:

 drop if `var1'==.

 the program returns error message:

 "varlist required an error occurred when bootstrap executed program1
 r(100);"

 Any assistance would be appreciated!


 --

 Best wishes,
 Michael McCulloch



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