Efficient Design & Analysis of Shelf-Life & Stability Studies

Target AudienceAttend this session to understand what the key issues are in the efficient set up of shelf-life and stability studies. Discover powerful statistical tools used to predict best before dates accurately.

AimsThis training session covers the key elements in the design of shelf-life studies as well as the most efficient ways to analyze data.

PrerequisitesThis one-day session introduces the important ideas in statistics and data analysis. It assumes that participants have no previous knowledge of statistics or that they have not used it for a long time.

This is primarily ilt training This class may be available at a classroom in Montreal, QC, Contact Creascience for more information

Duration: 1 days Training Presented in: English

Course Topics

• Distinguishing features of life data: censoring, truncation phenomena
• Reasons why usual analysis methods (ANOVA, standard regression) fail
• Designing efficient studies: Data collection strategies (destructive vs. non destructive testing), sampling issues, number of sample determination, measurements, real time and accelerated testing, dynamic designs, competing risks
• Statistical analysis of life data: Survival curves, nonparametric estimation (Kaplan-Meier), parametric estimation (Weibull, exponential, Gamma, etc) and semiparametric (Cox regression)
• Interpreting results
• Available software tools

Course FormatDifferent teaching tools are used: lectures, group discussions and interpretation of statistical software output.

• Advanced Experimental Designs
• Introduction a la planification d'exp riences
• Screening and Optimization Designs