Bradley Jones, PhD, JMP Principal Research Fellow, SAS
Joseph Morgan, JMP Principal Research Statistician Developer, SAS Ryan Lekivetz, PhD, JMP Senior Research Statistician Developer, SAS
Definitive screening designs (DSDs) are a new class of orthogonal screening designs that provide several desirable features. Main effects are uncorrelated with each other and also uncorrelated with any second-order effect (i.e., two-factor interactions and pure quadratic effects). Also, second-order effects may be correlated but are never confounded with each other. For DSDs with six or more factors, any three-factor projection is capable of fitting the full quadratic model with high efficiency. JMP 13 has introduced a new tool for fitting DSDs, which takes explicit advantage of their special structure. JMP 13 also provides a new and powerful tool for simulating responses for DSDs. This presentation will demonstrate the utility of these two new tools using practical examples.
