Absence of effect in stochastic processes: its influence on test validation and test use

Area of Science:

• Statistics
• Regulatory Science

Background:

• Stochastic processes present interpretation challenges due to inherent negativity.
• Achieving absolute safety assurance in such processes is impossible, impacting confidence in validation studies.

Purpose of the Study:

• To highlight the difficulties in validating new methods against established ones for stochastic processes.
• To emphasize the reliance on assumptions by regulatory scientists when dealing with process negativity.
• To advocate for periodic reviews of these assumptions in light of scientific advancements.

Main Methods:

• Literature review on the interpretation of negativity in stochastic processes.
• Analysis of the implications for validation studies of new methods.
• Discussion on the role and necessity of assumptions in regulatory decision-making.

Main Results:

• Negativity in stochastic processes inherently limits the certainty of safety assessments.
• Validation of new methods against established ones is difficult, especially for statistically stochastic processes.
• Regulatory scientists frequently rely on assumptions to interpret evidence.

Conclusions:

• The interpretation of negativity in stochastic processes requires careful consideration of assumptions.
• Regular evaluation of the validity and utility of these assumptions is crucial.
• Advancement in scientific knowledge may necessitate updated methodologies to replace current assumptions.