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st: Need Help with Stata Programming
From 
 
Michael Stewart <[email protected]> 
To 
 
statalist <[email protected]> 
Subject 
 
st: Need Help with Stata Programming 
Date 
 
Wed, 20 Nov 2013 08:11:25 -0500 
Hi Everyone,
I am trying to measure number of visits/admissions before and after a
particular event and was hoping to get help from Stata programmers in
the Statalist
My dataset is as follows . ED: stands for emergency department visit &
IP stands for Inpatient admission
Patients are sorted chronologically (by date).
My goal is
1)Count number of admissions(i.e., admit_type==IP) 60 days before the
event(i.e., event==1) OR 60 days after the event(i.e., event==1).
2)Sum up the cost of the admissions (i.e., admit_type==IP) 60 days
before the event(i.e., event==1) OR 60 days after the event(i.e.,
event==1).
Can you please help me . Usually, I try myself and shows the code to
the statalist members but here , in this case, I am not sure, where to
start.Sorry.
Pt_id   || admit_type || event ||       Date    ||      Cost
_______________________________________________________
1               ED              0               date_1  USD xx
1               ED              0               date_2  USD xx
1               IP              0               date_3  USD xx
1               IP              1               date_4  USD xx
1               IP              0               date_5  USD xx
1               IP              0               date_6  USD xx
--------------------------------------------------------
2               ED              0               date_1  USD xx
2               IP              1               date_2  USD xx
2               ED              0               date_3  USD xx
2               IP              0               date_4  USD xx
2               ED              0               date_5  USD xx
2               ED              0               date_6  USD xx
2               IP              0               date_7  USD xx
--------------------------------------------------------
3               ED              0               date_1  USD xx
3               IP              0               date_2  USD xx
3               ED              0               date_3  USD xx
3               IP              0               date_4  USD xx
3               IP              1               date_5  USD xx
3               ED              0               date_6  USD xx
3               IP              0               date_7  USD xx
3               ED              0               date_8  USD xx
Thank you very much for your time.
-- 
Thank you ,
Yours Sincerely,
Mike.
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