Level: Intermediate
【Presenter】
Peter Hersh, JMP Global Technical Enablement Engineer, SAS
Phil Kay Ph.D, Learning Manager Global Enablement, SAS Institute
[Presentation overview] (using automatic translation)
During the course of experimental design, many potentially important factors are often identified. Ideally, you should explore as many of these key factors as possible. There are different types of screening designs that can be used to minimize the number of runs required to investigate a large number of factors. The main goal of screen design is to find active factors that should be investigated further. Choosing how to analyze these designs is important because it can be difficult to separate the signal from the noise. This talk describes how to analyze different screening designs using automated validation techniques developed by Chris Gotwalt and Phil Ramsey. The focus will be on group orthogonal supersaturation designs (GO-SSD) and final screening designs (DSD). The presentation will show the results of the automated validation method compared to other methods for analyzing these screening designs.
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English subtitles are available for the video below.
