Stability Studies and Estimating Shelf Life with Regression Models
Duration: 75 Minutes
flat 40% off on this webinar use promo code
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 depend on the testing time available.
03/12/2018 10:00 AM03/12/2018 04:00 PMTraining Topic: Stability Studies and Estimating Shelf Life with Regression ModelsInstructor: Steven Wachs
You will understand various useful techniques and methods in this webinar that are used to conduct the analysis of resulting data and stability study to estimate shelf life. It is easy for you to understand and immediately apply these learning. There will be stress on interpretation and communication of result.
Objectives of the Presentation
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.
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
Join this session by expert speaker Steven Wachs to determine the steps required to set-up a stability study as well as understand the results which will estimate the shelf life of a product. The session will be using regressing models that will help in modeling the relationship shared between response variable(s) and the time. Also, other models that are useful in describing non-linear degradation over time as well as methods to handle non-normal response data will be discussed. You will finally learn how to use accelerating variables which will be used to shorten the study time and the models. The webinar also include various examples to illustrate the models discussed, in a better and more understandable way.
This program will cover the following topics