Companies must ensure that the advertised shelf life on their products is accurate and supported by data. Failure to do so may result in fraudulent claims, customer dissatisfaction, or even safety concerns. Many industries must comply with government or industry guidelines for determining shelf life.
This webinar provides an overview of statistical methods that are appropriate for shelf life determination. Both regression modeling of stability data and life data analysis are presented as valid methods for quantifying shelf life at a specified level of confidence.
Examples are included with illustrations to clarify what are typically confusing points. Also, the interpretation and communication of results will be stressed.