Re: Question on comparing lab results




Richard Ulrich wrote:
> First recommendation: Visit a lab similar to your own, and
> see what they do. The process that you describe seems to
> hint at a slew of pitfalls.

I do plan on visiting some labs similar to mine to hopefully get some
training in several areas. As usual I've gotten myself into a
situation I don't have the background for! :)

The comparison method I described is not something I would recommend,
but is representative of that sort of thing that gets done here.

> For instance: You have "several tests" on each sample.
> It *seems* that you count the result as "correct" if-and-only-if
> each of those tests are within 10%.

I need to clarify what I meant here. Blood from an individual is sent
to this contract lab where 6 separate tests are performed on it to
determine the occurance of 6 separate disease states. Each test yields
a numerical value which is then converted into a "negative" (healthy),
"positive", or "indeterminate" result. I believe we would want to
examine the results of each test separately. We would then count a
result "correct" for Disease A if the numerical value behind it agreed
(according to some rule) with the numberical value we get when testing
the same blood sample for Disease A. From there I need to decide how
many samples the contractor must report "correctly" for us to consider
them proficient at testing for Disease A.

>Are the assays
> - equally variable (Does one *need* a 1% error limit?)
> - equally suspect (Does a complicated procedure lead to
> occasionally-huge errors?)
> - equally important?

While I know how each of the assays are being performed, I don't know
alot about how to evaluate the error associated with each. I'd doubt
they are all equally variable. At this point I do consider them all
equally suspect simply because of my lack of understanding of possible
error involved. Since they all test for serious in-born errors of
metabolism, I can say they're all equally important.

It definately sounds like I need more information but I think I'm even
more confused than I was before. This really bothers me because unless
I come up with a better plan, we're going to go with numbers pulled out
of the air and dedicate several full-time staff and $100K's in
equipment to retesting these samples in a way that may not tell us
anything of value!

Tom

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