Total deviation index for measuring individual agreement with applications in laboratory performance and bioequivalence

Lawrence I‐Kuei Lin

Statistics in Medicine · 2000 · 136 citations · 8 references

Concepts

TL;DR

In inter‑laboratory quality control, method comparisons, assay validation, and individual bioequivalence, agreement between observations and target values is key, and the mean squared difference (MSD) is a useful measure of total deviation, with the TDI1‑p defining a boundary that contains 100(1−p)% of observations. The study introduces the total deviation index (TDI1‑p), a user‑friendly statistic that translates the MSD into an index directly comparable to a predetermined criterion. Statistical inference is provided using a sample estimate, and a 5000‑run Monte Carlo experiment confirms its validity. The index is applied to laboratory performance, validation, and individual bioequivalence studies. © 2000 John Wiley & Sons, Ltd.

Abstract

In areas of inter-laboratory quality control, method comparisons, assay validation and individual bioequivalence, etc., the agreement between observations and target (reference) values is of interest. The mean of the squared difference between observations and target values (MSD) is a good measure of the total deviation. A new user-friendly statistic, the total deviation index (TDI1-p), is introduced that translates the MSD into an index that can be directly compared to a predetermined criterion. The TDI1-p describes a boundary such that a majority, 100(1−p) per cent, of the observations are within the boundary (measurement unit and/or per cent) from their target values. Statistical inference using the sample counter part (estimate) is presented. A Monte Carlo experiment with 5000 runs was performed to confirm the estimate's validity. Applications in laboratory performance and validation, as well as individual bioequivalence, are presented. Copyright © 2000 John Wiley & Sons, Ltd.

References

8