sham wrote:
I'm working on a dataset that has recorded the drug
treatment and their response for a number of patients
over one year.
however to assign them one of 3 "improved responses"
there is a standard definition.
That is a improvement of 30% (a percentage increase)
in 3 of any 6 clinical variables and a decrease in no
more than 1. this gives them a criteria of "acr30".
In addition to this, I also wish to create improvement
of 50% and 70%, and combine them into one categorical variable.
I was wondering what the best way of doing this would be?
=========================================================
In the following example I assume that the response variables
are before1, after1, before2, ... , after6.
// calculate number of increases > 30% (inc30) and decreases
generate inc30=0 // increased more than 30%
generate decr=0 // decreased
forvalues I = 1/6 {
replace inc30=inc30+1 if after`I' > 1.3*before`I' & after`I'<.
replace decr = decr+1 if after`I' < before`I'
}
// Improved according to criteria
generate improved = inc30>2 & inc30<. & decr==0
Hope this helps
Svend
________________________________________________________
Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology)
Vennelyst Boulevard 6
DK-8000 Aarhus C, Denmark
Phone, work: +45 8942 6090
Phone, home: +45 8693 7796
Fax: +45 8613 1580
E-mail: [email protected]
_________________________________________________________
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