I think -cond()- will be your friend here. Not
sure what you want to happen, but something like:
gen chronic=cond(dgc1_1b_cde==0, ///
cond(dgc2_1b_cde==1, ///
cond(dgc3_1b_cde==1, ///
2,1),2,1),2,1)
maybe?
David Sabapathy wrote:
I have a question related to the FAQ "if command versus if qualifier". For each observation in a dataset I need to perform a series of nested loops ("forvalues" / "if") on a longitudinal variable set to evaluate whether a "chronic" medication condition exists. That is, each observation contains multiple years of survey information (the dgc* variables below) which is being analyzed and if a chronic condition exists a new variable "chronic" is set to 1. I can't use the nested commands as shown below in a simplified version of the code as they only work on the first observation. However I also can't use this nested code as a qualifier (i.e. replace chronic = 1 if ...) as syntax does not appear to allow this type of nesting. Is there anyway I can step through observations one by one with this nested code? Any other possible solutions?
Thank you for any help you can provide,
David
gen chronic = .
forvalues cycle = 1(1)4 {
if dgc`cycle'_1b_cde == 0 { // if no med use cycle i
local chron_cyc1 = `cycle' + 1
if dgc`chron_cyc1'_1b_cde == 1 { // if med use cycle_i+1
local chron_cyc2 = `cycle' + 2
if dgc`chron_cyc2'_1b_cde == 1 { // if med use cycle_i+2
if dhc`chron_cyc1'_age >=65 & dhc`chron_cyc2'_age >=65 {
// "replace chronic = 2"
}
else {
// "replace chronic = 1"
}
}
}
}
}
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