Re: st: comparing between observations

[Richard Goldstein <richgold@ix.netcom.com>]

note that there is an ambiguity in the question and that Nick's answer
makes an assumption about that ambiguity: what if the third observation
is not within 30 days of the first discharge but is within 30 days of
the second discharge (and the second admission is within 30 days of the
first discharge?

Rich

On 9/24/13 9:35 AM, Nick Cox wrote:
> Check out -panelthin- from SSC. Alternatively, the time since the
> previous discharge is just
> 
> gen lapse = admdt - dischdt[_n-1]
> 
> making sure that you omit all the non-COPD admissions, or equivalently
> -sort- them aside.
> 
> You describe your data as if you have just one patient, which seems
> unlikely, but the previous statement can be generalised by something
> like
> 
> bysort patientid (admdt) : gen lapse = ...
> 
> 
> Nick
> njcoxstata@gmail.com
> 
> 
> On 24 September 2013 14:17,  <Tina.Shah@uchospitals.edu> wrote:
>> I have a large dataset in which I have to identify and index admission to the 
hospital for copd.  I have created a variable that codes for hospital
admission
and admission for copd, copdadmit, where 1 equals yes.  The other part
of index
admission is that the encounter to the hospital cannot be within a 30day
window
of discharge any other admission for copd.  For example, if patient A has a
COPD admission on feb 1to feb 5 and then again is admitted for COPD on
feb 15,
since feb 15 is within 30days of discharge date of feb 5, this second
admission
should not be considered an index admission.  I ranked all of the copd
admits and
I have admission and discharge dates.  How do I identify the copd admits
that
should not be considered index admits? Also it might be that the second and
third ranked observations also fall within 30days of the discharge date
from the first.
>>
>> My variables and example
>> Copdadmit, admdt, dischdt, obsrank
>> 1, 02feb2006, 04feb2006, 1
>> 1, 22feb2006,  23feb2006, 2
>> 1, 27feb2006, 28feb2006, 3
>> 1, 04may2006, 08may2006, 4
>>
>> Thanks!
>> Tina
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