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Re: st: Thread-Index: AczxXtYwD2VOTYqASdGGftzjvCHPSg==


From   Phil Clayton <philclayton@internode.on.net>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Thread-Index: AczxXtYwD2VOTYqASdGGftzjvCHPSg==
Date   Thu, 23 Feb 2012 00:35:35 +1100

Not quite sure I get what you're trying to do, but maybe something like this:

--------- set up example dataset ----------
clear
set obs 1000
gen byte group=trunc(4*runiform())
gen byte died=rbinomial(1, group/5)
replace died=0 if group==0
-------------- end of setup ---------------

------------ result of above --------------
. tab group died

           |         died
     group |         0          1 |     Total
-----------+----------------------+----------
         0 |       215          0 |       215 
         1 |       216         52 |       268 
         2 |       159         95 |       254 
         3 |       102        161 |       263 
-----------+----------------------+----------
     Total |       692        308 |     1,000 
-------------------------------------------

------------- draw bar graph -------------
gen byte died7d=100*(died & group==1)
gen byte died30d=100*(died & group==2)
gen byte died180d=100*(died & group==3)
graph bar (mean) died7d died30d died180d, ascategory ///
	yvaroptions(relabel(1 "7 days" 2 "30 days" 3 "180 days")) ///
	ytitle("% mortality")
------------- end of example -------------

Phil


On 22/02/2012, at 11:38 PM, Stig Lønberg Nielsen wrote:

> Hi
> 
> I am trying to produce a bar graph showing 7 day, 30 day and 180 day mortality relative to my population. I have  catagorical variables for each mortality group (0 1) and a dummy variable for all of the mortality groups (1, 2, 3, .)
> 
> My problem is that when I produce a histogram og graph bar STATA ignores my missing values and produces bars relative to only the dead patients - not the whole population. If I recode missing values as 0 a 4th graph is produced - which I do not want. 
> 
> Any help would be very much appreciated!
> 
> 
> Venligst
> Stig Lønberg Nielsen
> Læge, ph.d. studerende
> Klinisk Institut, Syddansk Universitet
> Infektionsmedicinsk afdeling Q, 
> Odense Universitetshospital
> 
> 
> 
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