Evaluation of linearity in the clinical laboratory.
BACKGROUND
Clinical laboratory assessment of test linearity is often limited to satisfying regulatory requirements rather than integrating this tool into the laboratory quality assurance program. Although an important part of quality control and method validation for clinical laboratories, linearity of clinical tests does not get the attention it deserves.


OBJECTIVE
This article evaluates the concepts and importance of linearity evaluations for clinical tests.


METHODS
We describe the theory and procedural steps of each linearity evaluation. We then evaluate the statistical methods for each procedure.


RESULTS
Visual assessment, although simple, is subjective. The lack-of-fit error and the 1986 NCCLS EP6-P G test are sensitive to imprecision and assume that the data are first order. Regression analysis, as developed as the polynomial method, is partly based on the experiences of the College of American Pathologists Instrumentation Resource Committee and has proved to be a robust statistical method.


CONCLUSIONS
We provide general guidelines for handling non-linear results from a linearity evaluation. Handling linearity data in an objective manner will aid clinical laboratorians whose goal is to improve the quality of the tests they perform.
Jhang
Jeffrey S
JS
College of Physicians and Surgeons of Columbia University, New York, NY, USA.
Chang
Chung-Che
CC
Fink
Daniel J
DJ
Kroll
Martin H
MH
D019411:Clinical Laboratory Techniques / Q000592:standards*; D016014:Linear Models; D011786:Quality Control; D012015:Reference Standards