Confidence interval approach for evaluating bias in laboratory methods

  • Kevin F Yee
  • Published 1988 in The Journal of automatic chemistry

Abstract

A statistically significant difference in mean values between two laboratory quantitation methods is interpreted as a bias. Sometimes such a difference is so minute that it does not constitute any practical concern. An alternative approach is to test statistically whether the two methods are close enough, not for equality. This is to look at the confidence interval of the mean method difference and does not entail any additional statistical tests.

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Cite this paper

@article{Yee1988ConfidenceIA, title={Confidence interval approach for evaluating bias in laboratory methods}, author={Kevin F Yee}, journal={The Journal of Automatic Chemistry}, year={1988}, volume={10}, pages={144 - 146} }