D
Dave R.
Hi,
at work we are selecting random numbers. In the past, the process used has
been to use the TOOLS>Data Analysis, to randomly pick x number of numbers
from a list of patient ID codes.
The problem with this, is in our random list we want a maximum of one
occurence of any patient ID. So the problem in the past with using the
Tools>Data analysis route was that there would frequently be duplicates,
requiring re-pulls that exclude numbers we've already picked.
So I have suggested using the method of randomizing whereby we'd use RAND()
in a helper column next to our patient IDs, then sort by the random numbers,
and copy/paste the top x patient IDs to a separate location, and thereby
have our random sample of unique patient IDs.
The issue that comes up about this is that it is not the SAME method as we
have used in the past, but in my eyes we are still creating 2 random lists
of numbers, with the same program. My question for everyone is if they think
this is a comparable method (i.e. taking into account randomization methods
within XL 2000) that is simply more efficient.
Thanks for any ideas
at work we are selecting random numbers. In the past, the process used has
been to use the TOOLS>Data Analysis, to randomly pick x number of numbers
from a list of patient ID codes.
The problem with this, is in our random list we want a maximum of one
occurence of any patient ID. So the problem in the past with using the
Tools>Data analysis route was that there would frequently be duplicates,
requiring re-pulls that exclude numbers we've already picked.
So I have suggested using the method of randomizing whereby we'd use RAND()
in a helper column next to our patient IDs, then sort by the random numbers,
and copy/paste the top x patient IDs to a separate location, and thereby
have our random sample of unique patient IDs.
The issue that comes up about this is that it is not the SAME method as we
have used in the past, but in my eyes we are still creating 2 random lists
of numbers, with the same program. My question for everyone is if they think
this is a comparable method (i.e. taking into account randomization methods
within XL 2000) that is simply more efficient.
Thanks for any ideas