Clinical
Linearity
Clinical Linearity is a revolutionary concept in the
clinical laboratory arena. A new mathematical approach
specifically determines whether a data set is linear within a
user-defined allowable error. You no longer need to visually
judge whether a method is linear.
The algorithm includes the
following steps:
- Define allowable error (i.e. CLIA defined PT limits).
Allowable error is expressed in units of concentration or
percent of concentration.
- Use the allowable error to calculate error bars for each
linearity point.
- Attempt to draw a straight line through the error bars.
If a straight line can be drawn, then the data are linear
within the allowable error.
- Identify and eliminate outliers, continuing until the remaining
points are within allowable error or until only three
points remain.
- Calculate Intrinsic Error before and after excluding
outliers. (Intrinsic Error is the maximum
allowable error the system can tolerate and still be
linear.)
The Clinical Linearity Algorithm was developed jointly by our
president, Dr. Rhoads, and Kicab Casteneda-Mendez, M.S. It is incorporated
our EP Evalu
ator™
software.