Hi,
I have a rolled up data set that contains a metric that counts the number of members and Dollars spent:
AgeGroup Region Members Spend
20-24 West 1 50
20-24 East 4 250
20-24 South 2 80
...
For any cell where Members LE 3 I randomize to 0 or 3 and adjust the spend accordingly:
AgeGroup Region Members Spend
20-24 West 0 0
20-24 East 4 250
20-24 South 3 120
At the end I evaluate the overall % difference to calclate the possible bias from new to old:
MemberBias = 7/7-1 = 0%
SpendBias = 370/380-1=-2.6%
Here's where i'm stuck.
IF MemberBias OR SpendBias is GE +/- 1% re-run the randomization until both is under +-1% then keep that final dataset.
I'm not sure how to structure the logic in my code to do this, any help greatly appreciated.
Thanks!
I suggest using a macro approach. If you create a macro with a %do %until loop you can repeat your data confidentialized & proc sql steps until your bias criteria is met. Something like the following:
%macro bias;
%let ok_bias=0;
%do %until (&ok_bias=1);
data confidentialized; set rollup(Rename=(Members=tmpMembers Spend=tmpSpend)) ;
If tmpMembers LE 3 then do ;
...
run;
*** BIAS Check ;
Proc SQL ;
Create table
...
quit;
data _null_;
set BiasCheck;
if memberbias lt .01 and spendbias lt .01 then call symput('ok_bias','1');
run;
%end;
%mend;
%bias;
How are you 'randomizing'?
It almost sounds as if you might want to look into Proc Surveyselect and the amount spent might be considered a size measure.
Sorry 'Randomizing' may not be the right title for this thread.
I am randomizing using Rand("uniform")
Data Confidentialized ; Set Rollup(Rename=(Members=tmpMembers Spend=tmpSpend)) ;
If tmpMembers LE 3 then do ;
Random=rand("Uniform");
Members=0 ;
IF Random GT 0.5 then Members=3 ;
Dollars=(Members/tmpMembers)*tmpSpend;
end ;
IF tmpMembers GT 3 then do ; Members =tmpMembers ; Spend=tmpSpend ; end ;
run ;
*** BIAS Check ;
Proc SQL ;
Create table BiasCheck as SElect
sum(Members)/sum(tmpMembers)-1 as MemberBias format Percent8.2,
Sum(Spend)/Sum(tmpSpend)-1 as SpendBias format Percent8.2
From Confidentialized ;
quit;
proc print data=biascheck ; run ;
Essentially, based on the results of the Bias check, i'd like to re-iterate the confidentialization code so I can 'promote' the version where both bias is less than 1% difference.
I suggest using a macro approach. If you create a macro with a %do %until loop you can repeat your data confidentialized & proc sql steps until your bias criteria is met. Something like the following:
%macro bias;
%let ok_bias=0;
%do %until (&ok_bias=1);
data confidentialized; set rollup(Rename=(Members=tmpMembers Spend=tmpSpend)) ;
If tmpMembers LE 3 then do ;
...
run;
*** BIAS Check ;
Proc SQL ;
Create table
...
quit;
data _null_;
set BiasCheck;
if memberbias lt .01 and spendbias lt .01 then call symput('ok_bias','1');
run;
%end;
%mend;
%bias;
Thank you for your suggestion, it works great.
How would I alter the code to have a counter for the number of iterations it took to finally be promoted?
Before the %do intialize your counter and then increment within the loop
%let counter=0;
%do .....;
%let counter = %eval(&counter + 1);
IF you want to see the value of counter outside the loop you will need to make it GLOBAL variable though.
Give this a try.
%macro bias;
%let counter=1;
%let ok_bias=0;
%do %until (&ok_bias=1 or counter gt 100);
data confidentialized; set rollup(Rename=(Members=tmpMembers Spend=tmpSpend)) ;
If tmpMembers LE 3 then do ;
...
run;
*** BIAS Check ;
Proc SQL ;
Create table
...
quit;
data _null_;
set BiasCheck;
if memberbias lt .01 and spendbias lt .01 then call symput('ok_bias','1');
run;
%let counter=%eval(&counter + 1);
%end;
%put &ok_bias was the ok_bias value;
%put &counter iterations occurred.;
%mend;
%bias;
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