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Re: st: Nested loops by observation


From   Jeph Herrin <[email protected]>
To   [email protected]
Subject   Re: st: Nested loops by observation
Date   Mon, 20 Jul 2009 13:39:03 -0400

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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