title: Evaluation of linearity in the clinical laboratory.
abstract: 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.
authors.affiliation: College of Physicians and Surgeons of Columbia University, New York, NY, USA.
authors.forename: Jeffrey S
authors.initials: JS
authors.lastname: Jhang
authors.forename: Chung-Che
authors.initials: CC
authors.lastname: Chang
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Fink
authors.forename: Martin H
authors.initials: MH
authors.lastname: Kroll
mesh_terms: D019411:Clinical Laboratory Techniques / Q000592:standards*; D016014:Linear Models; D011786:Quality Control; D012015:Reference Standards