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Stability Studies and Estimating Shelf Life with Regression Models
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  /  Recorded Webinar  /  Stability Studies and Estimating Shelf Life with Regression Models

Stability Studies and Estimating Shelf Life with Regression Models


About this course

Watch RECORDED Session for Just $59


Training Duration: 90 Minutes

Accessible On: Any multimedia device

Recorded On: Aug 23, 2019

Access any day, anytime, unlimited times as per your convenience*                                                                                                                                                                    Sr. No.090082319                   

Manufacturers of foods, drugs, consumer goods, and other products must determine the shelf life of their products so that customers know when the product can be expected to perform as intended. Many approaches are available to quantify the “shelf life” and the method(s) chosen often depends on the testing time available.

At the end of the session, you’ll come away with various useful techniques and methods to conduct the analysis of resulting data and stability study to estimating shelf life while focusing on the interpretation and communication of results. You will get straightforward and easy-to-understand instructions to immediately apply this information to your work.

In this webinar expert speaker Steven Wachs, will clearly explain the steps to set-up a stability study and analyze the results to estimate the product’s shelf life.


Training Highlights:

  • Planning a Stability Study
  • Performance Specifications
  • Determining Shelf Life
  • Confidence Level
  • Regression Modeling (Linear and Non-Linear)
  • Handing Non-Normal Response Data
  • Introduction to Accelerated Stability Testing


Why You Should 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. Also, the interpretation and communication of results will be stressed.


Who Should Attend:

  • 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
  • Compliance/Regulatory personnel


**In this Recorded Session, you can listen to Q&A which includes direct answers from our expert speaker.

*Instruction kit to access the session will be emailed within 6 hours.

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