Comparison of six regression-based lot-to-lot verification approaches

What is it about?

Linear regression is one of the statistical approaches used to assess lot-to-lot variation in routine clinical laboratory. The performance of six regression-based lot-to-lot verification approaches, including a novel approach based on Bland-Altman plot, are compared in this simulation study to provide guidance to laboratory practitioners on their strength and limitations.

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