Laboratories use linear. regression as a tool to compare methods, eith
er to decide whether to replace one method with another, to compare th
e analytical performance of two methods, or to make the results of the
two methods equivalent. Linear regression is a requirement in the Nat
ional Committee on Clinical Laboratory Standards (NCCLS) document EP9-
T, Method Comparison and Bias. Computer software programs can simplify
the process. Technologists should be aware of four patterns of bias-c
onstant error, proportional bias, random error, and outliers. When det
erminingg whether the methods are adequate the technologist evaluates
against a predetermined medical decision point, and has predetermined
an acceptable range of bias. With these pieces of information, he or s
he can calculate the bias and its 95% confidence interval using equati
ons in the NCCLS document. This is the second article in a continuing
education series on statistics. Other articles in this series focus on
the control chart, assessment of linearity and the creation of refere
nce ranges.