Designing a screening design allows the investigation of many factors while using the minimum number of trials. Available in Excel using the XLSTAT software.
What are screening designs
The family of screening designs aims for the study of the effect of two or more factors. In general factorial designs are the most efficient for this type of study. But the number of necessary tests is often too large when using factorial designs. There are other possible types of designs in order to take into account the limited number of experiments that can be carried out.
Screening designs in XLSTAT
This tool integrates a large base of several hundred orthogonal design tables. Orthogonal design tables are preferred, as the ANOVA analysis will be based on a balanced design. Designs that are close to the design described by user input will be available for section without having to calculate for an optimal design. All existing orthogonal designs are available for up to 35 factors having each between 2 and 7 categories. Most common families like full factorial designs, Latin square and Placket and Burman designs are included.
If the existing orthogonal designs in the knowledge base do not satisfy your needs, it is possible to search for d-optimal designs. These designs might not be orthogonal.
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