Stability Studies & Estimating Shelf Life

Duration: 60 Minutes
This webinar discusses the steps to set-up a stability study and analyze the results to estimate the product's shelf life. The use of regression models to model the relationship between the response variable(s) and time are presented. Models useful for describing non-linear degradation over time are also presented. Additionally, methods for handling non-normal response data are also discussed. Finally, the use of accelerating variables to shorten the study time and the models required are introduced. The webinar includes several examples to illustrate the methods discussed.
Estimating Product's Shelf Life
Instructor: Steven Wachs
Product ID: 501603
Objectives of the Presentation
  • Planning for a Stability Study
  • Analysis of Stability Data (Regression Modeling)
  • Interpreting and Communicating Results
  • Handle Non-Linear relationships and non-normal response data
Why Should you Attend
The webinar will provide useful methods and techniques for conducting a stability study and analyzing the resulting data for the purpose of estimating shelf life. Participants should be able to immediately apply the methods presented.

Areas Covered
  • Planning a Stability Study
  • Performance Specifications
  • Determining Shelf Life
  • Confidence Levels
  • Regression Modeling (Linear and Non-Linear)
  • Handing Non-Normal Response Data
  • Introduction to Accelerated Stability Testing
Who can Benefit
  • The target audience includes personnel involved in product/process development and manufacturing
  • R&D Personnel
  • Product Development Personnel
  • Quality Personnel
  • Lab Testing Personnel
  • Operations / Production Managers
  • Quality Assurance Managers, Engineers
  • Process or Manufacturing Engineers or Managers
  • Program or Product Managers
$375
Recorded Session for one participant
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  • Presentation handouts in downloadable PDF format will be updated on your OCP Account within 24 hours of the purchase of the product
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Instructor Profile:
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.

Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Steve regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
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