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Re: Correction : st: : Request code simplification
From
Sergiy Radyakin <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: Correction : st: : Request code simplification
Date
Tue, 11 Jun 2013 19:43:39 -0400
The following creates a dataset of IDs of patients who have had any transplant.
I do not see how carryforward is necessary here, unless you are also
interested in the date of the transplantation.
keep if inlist(type_of_visit, codeforliver,codeforkidney,...)
duplicates drop patient_id, force
keep patient_id
Best, Sergiy
On Tue, Jun 11, 2013 at 5:28 PM, Michael Stewart
<[email protected]> wrote:
> Sorry for the typos in the previous post(they showed up as I was
> removing any patient identifiers from the dataset) , I am posting the
> corrected request again
>
> Hi,
> I am working on a data set with thousands of patients( and multiple
> records per patient) and I am trying to identify pateints with any
> transplant(could undergo liver, kidney, intestine etc) . I was
> wondering if we could simplify my code as my laptop is freezing with
> the following set of commands.
>
>
> Here the goal is find patients who has type_of_visit[1]=="first_
> clinic_visit" & any other type_of_visit is ""(after the records are
> sorted by pat_id and visit_date)
>
> My code :
>
> bysort pat-id (visit_date):carryforward type_of_visit,gen(v)
> bysort pat-id (visit_date):gen x=v[1]==v[_n]
> bysort pat-id (visit_date):egen z=sum(x)
> bysort pat-id (visit_date):egen zz=count(x)
> gen y= z< zz
>
>
>
> The dataset format is as follows.
>
> pat-id visit_date type_of_visit
> -------------------------------------------------------
> xxx 09/01/2003 first_clinic_visit
> xxx 09/15/2003
> .
> .
> .
> .
> XXX 12/12/2003
> XXX 2/04/2004 liver_transplant
> yyy 01/01/2004 first_clinic_visit
> yyy 02/02/2005
> .
> .
> yyy 01/03/2008 intestine_transplant
> zzz 05/01/2010 first_clinic_visit
> zzz 05/03/2011
> .
> .
> .
> .
> ------------------------------------------------------------
>
> As always, thanks a lot for your time
> Thank you ,
> Yours Sincerely,
> Mike.
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