This website uses Cookies. Click Accept to agree to our website's cookie use as described in our Privacy Policy. Click Preferences to customize your cookie settings.
Accept
Reject
Preferences
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Choose Language Hide Translation Bar
The Basics of Experimental Design for Multivariate Analysis
Aug 9, 2017 02:36 PM
Preview file
708 KB

The Basics of Experimental Design for Multivariate Analysis

Steve Figard, Abbott Laboratories

 

This paper is designed for the beginner to intermediate practitioner of the form of analysis known as Design of Experiments (DOE). Specific objectives include:

• Defining some of the terminology

• Introducing major thought processes, philosophy, strategies, and rules of thumb

• Keeping objectives in the context of JMP® as an example of how this type of analysis is implemented in software

• Presenting a relevant example of the use of DOE in assay development Letting the software worry about the how of DOE, this paper focuses on the when and why to do what.

 

 

Comments
PatrickGiuliano
‎02-04-2022 04:07 AM

This is a very useful reference that provides a nice practical foundation for design of experiments in an applied problem context (in-vitro diagnostic immunoassay development).  The example case is a 2-level, 4-factor screening design; and the technical writeup and interpretation of various fitted model output in JMP is quite clear and comprehensive.