David G. Rhoads Associates, Inc. Specialty Software for the Chemical Laboratory

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Clinical Linearity

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 Evaluator™ software.


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Copyright © 1999-2006 David G. Rhoads Associates, Inc. 29 Jul 2006