Comparisons of outlier tests for potency bioassays

Area of Science:

• Biopharmaceutical Manufacturing
• Analytical Chemistry
• Statistical Modeling

Background:

• Potency bioassays are critical for measuring biological activity and are a key quality attribute in drug manufacturing.
• Relative potency is determined by comparing concentration-response curves of test batches against a reference standard, requiring similar curve shapes for accurate calibration.
• Outliers in bioassay data can lead to incorrect sample acceptance/rejection and biased potency estimates, necessitating robust outlier screening.

Purpose of the Study:

• To evaluate and compare existing outlier detection methods for bioassay data, including those from USP<1010>.
• To propose and assess two novel outlier detection methods.
• To investigate the impact of outlier removal on similarity testing and relative potency estimation.

Main Methods:

• Computer simulations were employed to evaluate various outlier detection methods.
• The study compared the performance of existing and newly proposed outlier detection techniques.
• The effects of outlier removal on similarity testing and relative potency estimation were analyzed.

Main Results:

• The evaluation confirmed the importance of outlier screening as recommended by USP<1032>.
• The study identified effective outlier detection methods for bioassay data.
• The impact of outlier removal on similarity testing and relative potency was quantified.

Conclusions:

• Implementing appropriate outlier detection methods is essential for reliable bioassay data analysis.
• The findings provide recommendations for best practices in outlier screening for potency bioassays.
• Accurate outlier management ensures the quality and consistency of manufactured drug products.