The basic but essential role of a screening design is its ability to estimate main effects. In this post I will look at how well this is achieved using a DSD. (more…)
The size of a classical screening design is influenced by design resolution and geometric symmetry, whereas the size of a definitive screening design grows in proportion with the number of factors. (more…)
In my last post I introduced the key characteristics of definitive screening designs. In this post I will take a closer look at the first of these characteristics, namely, that the designs have three levels. (more…)
Definitive? Really? I’m going to be taking a close look at definitive screening designs and I’ll try and not get hung-up on the name: calling them DSDs should solve that problem!
DSDs represent a revolutionary approach to designing screening experiments. I want to take a look at the motivation behind these designs and explore their characteristics in relation to traditional screening designs. DSDs are highly efficient in the use of resources required to conduct an experiment, but that efficiency can sometimes come at the price of more complexity when it comes to analysing the experiment data. I want to take a look at the assumptions that underpin the designs and how those assumptions impact modelling of the experimental results. (more…)