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st: Re: How to graph point estimate with twoway confidence intervals


From   "Martin Weiss" <[email protected]>
To   <[email protected]>
Subject   st: Re: How to graph point estimate with twoway confidence intervals
Date   Sun, 1 Mar 2009 12:37:45 +0100

<>

Well, if you could be bothered to aggregate the two widths of the CIs into one measure, Stata could plot differently sized ellipses for you based on it. I know it is a crude method...

************
g diff=cciu- ccil+ yciu- ycil
tw (sc yll cost [aw=diff], msymbol(oh)) (sc yll cost, msize(small))
************

Apart from that, a useful representation of CIs is usually achieved via -ssc d eclplot-

HTH
Martin
_______________________
----- Original Message ----- From: "Taavi Lai" <[email protected]>
To: <[email protected]>
Sent: Sunday, March 01, 2009 1:27 AM
Subject: st: How to graph point estimate with twoway confidence intervals


Dear statalist,

I have a dataset which contains following variables
- group
- outcome (yll)
- cost (associated with the outcome)
- upper and lower confidence bounds for both outcome and cost

All variables have one observation per group as follows
+--------------------------------------------------+
grp   yll   ycil   yciu    cost    ccil     cciu
--------------------------------------------------
1. 1   838    221   1449   608.7     558   1572.6
2. 2   257     62    408     178   163.2    459.8
3. 3   534    138    908   369.8     339    955.4
4. 4   546    139    908   378.1   346.6    976.8

What I'd like to do is a twoway scatter of outcome versus cost with added
confidence/uncertainty bounds of both outcome and cost for every point in
the scatter in the form of an ellip or circle.

I've had a look on the -ellip- command, but this requires at least three
observations per group for operation and that I don't have unfortunately.

I would very much appreciate all the suggestions on how this type of graph
might be produced.

Best regards,
Taavi

----
Taavi Lai
Public Health Department
University of Tartu
Ravila 19, Tartu 50411
Estonia




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