Confidence Intervals for Validation of Analytical Procedures Under ICH Q2(R2)

Area of Science:

• Pharmaceutical Sciences
• Analytical Chemistry
• Regulatory Science

Background:

• The International Conference on Harmonisation (ICH) Quality Guidance Q2(R2) was adopted in 2023.
• Revision R2 introduces new requirements for analytical procedure validation, impacting accuracy and precision assessments.
• These changes necessitate updated approaches for demonstrating validation compliance.

Purpose of the Study:

• To provide practical guidance on implementing the new ICH Q2(R2) requirements for analytical procedure validation.
• To illustrate methods for calculating confidence intervals compatible with acceptance criteria.
• To demonstrate techniques for integrating prior knowledge into validation conclusions.

Main Methods:

• Detailed examples of confidence interval computations for accuracy and precision using various statistical models.
• Methodologies for combining prior knowledge (frequentist and Bayesian approaches) with validation data.
• Tutorial-style explanations tailored for statisticians and analytical scientists.

Main Results:

• Demonstrated calculation of confidence intervals for key validation performance characteristics.
• Presented methods for incorporating prior knowledge into validation study interpretations.
• Provided a framework for meeting ICH Q2(R2) compliance regarding acceptance criteria and prior data.

Conclusions:

• The revised ICH Q2(R2) guidance offers flexibility but requires careful statistical consideration.
• Implementing compatible confidence intervals and utilizing prior knowledge can enhance validation efficiency.
• This work equips scientists with the tools to navigate the updated validation landscape effectively.