Objectives:
Review
the concepts of precision and accuracy.
Review
the meaning of random error, systematic error, and total error.
Review
the experimental design for a method validation study.
Review
the application of statistics to estimate analytical errors from
experimental data.
Review
the decision making process for judging the acceptability of
performance of an analytical method.
Web materials:
MV - The Real World Applications.
MV
- The Inner, Hidden, Deeper Secret Meaning.
MV
- The Experimental Plan.
MV
- The Data Analysis Tool Kit.
Use
and interpretation of common statistics in method-comparison
studies. PDF files with permission of Clinical Chemistry
journal.
A
method evaluation decision chart (MEDx chart) for judging method
performance. PDF files with permission from Clinical Laboratory
Science journal
Things to do:
Study
the materials.
Review
your laboratory's guidelines for method evaluation studies.
Review
a method evaluation article in the literature.
Explain
what is meant by random error, systematic error, and total error.
What
experiments are used to estimate the different types of analytical
errors?
How do
you perform a replication study?
How do
you perform a comparison of methods study?
What
statistics are used to summarize the results of a replication
study?
How do
you calculate "bias"?
What
statistics are most useful for summarizing the results of a comparison
of methods study?
Given
a bias of 6 mg/dl (r=0.99) and a CV of 3.0% for a glucose method,
what's your judgment on the acceptability of the method?
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