Improving the accuracy of long-term stability predictions using accelerated degradation data
29 Apr 2026
Formulation & Stability
- What study setup and design considerations should be taken into account, including understanding the molecule, selecting study conditions, choosing testing intervals, selecting appropriate methods (QC vs characterization), and planning for OOS/OOT criteria?
- How should primary data be understood and managed?
- What is the difference between recorded and reported results, and how can expectations be set for testing laboratories to provide complete raw data?
- What are the respective roles of development scientists and QC scientists in stability studies, and how should responsibilities be defined between them and testing laboratories?
- How should analytical methods be reviewed or adapted over time, and how do product lifecycle considerations influence when revisions are made and when methods are locked down?
- How can statistical trending and null hypothesis testing be used to interpret stability data?
- What is the meaning of poolability in long-term studies?
- How is Arrhenius analysis (“rule of 10”) applied?
- How can chemical degradation be distinguished from biophysical changes?
- How are retest periods, shelf life, and expiry dates determined?
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