Repeatability and reproducibility estimates from collaborative studies based on total concentration of trace analytes

Area of Science:

• Analytical Chemistry
• Statistical Modeling
• Method Validation

Background:

• Analytical method validation is crucial for reliable trace analyte concentration determination.
• Precision indicators like repeatability and reproducibility are key metrics.
• Current collaborative studies often rely on standard one-way completely randomized models.

Purpose of the Study:

• To identify shortcomings in statistical models used for analytical method validation.
• To redefine component makeup for repeatability and reproducibility variance estimates.
• To propose new policy for method performance evaluation based on total concentration.

Main Methods:

• Analysis of standard one-way completely randomized models.
• Statistical examination of variance components.
• Review of existing policies for method performance.

Main Results:

• Identified limitations in the application of standard statistical models for precision estimation.
• Provided a clearer definition of variance components for repeatability and reproducibility.
• Offered recommendations for updated policy on method performance assessment.

Conclusions:

• Standard statistical models have deficiencies in analytical method validation.
• Revised approaches to variance estimation are needed for accurate precision assessment.
• Updated policies can enhance the reliability of trace analyte concentration measurements.