I have a repeated measurement data of individuals. How to mask the unique identifier variable (before data sharing) while keeping nature of repeated records and other logics embedded? Uniq_id variable is very long in and length and numeric. Using SAS 9.4.
data temp;
input uniq_id;
datalines;
2007122345567889
2007122345567889
2007122345567889
2008235689875421
2008235689875421
2008235689875421
;
data temp; set temp;
format uniq_id 20.;
run;
1. Create a list of your ID's, only unique values
2. Create a list of random IDs in the data set from step1, keeping the seed value stored - you'll want to keep track of the seeds over time so I recommend keeping a master file of seeds.
3. Match ID to RandomID so that an ID for a person is constant throughout the data set but it doesn't have the any significance.
Fully worked example here:
https://gist.github.com/statgeek/fd94b0b6e78815430c1340e8c19f8644
1. Create a list of your ID's, only unique values
2. Create a list of random IDs in the data set from step1, keeping the seed value stored - you'll want to keep track of the seeds over time so I recommend keeping a master file of seeds.
3. Match ID to RandomID so that an ID for a person is constant throughout the data set but it doesn't have the any significance.
Fully worked example here:
https://gist.github.com/statgeek/fd94b0b6e78815430c1340e8c19f8644
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