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Design and analysis of method equivalence studies.

Phil J Borman¹, Marion J Chatfield, Ivana Damjanov

¹GlaxoSmithKline Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, UK.

Analytical Chemistry

|November 21, 2009

Summary

This summary is machine-generated.

Method equivalence testing ensures new analytical methods align with existing ones. The two one-sided tests (TOST) approach offers a robust, data-driven way to confirm method equivalency for reliable results.

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Area of Science:

Analytical Chemistry
Method Validation
Biostatistics

Background:

Analytical method modifications or substitutions necessitate equivalence assessments.
Traditional intermediate precision studies are often insufficient for robust equivalence testing.
Establishing method equivalence is crucial for maintaining data integrity and supporting established specifications.

Purpose of the Study:

To present the two one-sided tests (TOST) approach as a superior, data-driven method for analytical method equivalence assessment.
To outline the principles for designing and conducting method equivalence studies.
To demonstrate how TOST confirms that a new method yields data consistent with prior specifications.

Main Methods:

Define an acceptance criterion based on the smallest practically important bias between methods.
Design the equivalence study adhering to established principles after criterion selection.
Collect and validate data, including outlier assessment, normality testing, and variance comparison.
Calculate the mean difference and a +/-90% confidence interval using the TOST approach.

Main Results:

The TOST approach provides a statistically sound framework for method equivalence.
Pre-study data validation is essential for reliable equivalence demonstration.
Successful application of TOST confirms that the modified or substituted method is equivalent to the original.

Conclusions:

The TOST approach offers a more rigorous and data-driven method for assessing analytical method equivalence compared to traditional methods.
Proper study design and data validation are critical for demonstrating method equivalence.
Equivalence testing using TOST ensures continuity of data quality and supports regulatory compliance.