Hi, I'm trying to QC blinding of the data to ensure it is done correctly. I have the base data where the SUBJID's are not scrambled and the scrambled datasets where the SUBJIDs are scrambled. I do not know what the algorithm was used so how do i go about checking to see if they're done correctly? For example:
The Normal SUBJIDs are as follows
10045001 |
10055001 |
10055005 |
10055004 |
10055003 |
10055006 |
10055002 |
10075001 |
10075002 |
Blinded:
50021001 |
50021002 |
50031001 |
50031002 |
50041001 |
50041002 |
50051001 |
50051002 |
50061001 |
So would I need to create a unique sequence in one of the normal dataset and trace that sequence to the blinded dataset to ensure the Blinding is done properly? Or would I need to ask the principal programmer what the algorithm is for blinding...or would that defeat the purpose of double programming?
Thank you in advance.
1. Am I dreaming or were the IDs just split in half, and the two halves' positions reversed?
2. how do i go about checking to see if they're done correctly?
What does "correctly" mean? What's the expected outcome?
2. Scrambling IDs is normally done with a function such as SHA256.
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