![The QbD Column: Applying QbD to make analytic methods robust Figure 5. Profiler of peakHeight at nominal levels with added noise and enhanced control of the gradient.](https://blogs.sas.com/content/jmp/files/2016/10/Fig5_Qbd9.png)
In our previous blog post, we wrote about using designed experiments to develop analytic methods. This post continues the discussion of analytic methods and shows how a new type of experimental design, the Definitive Screening Design[1] (DSD), can be used to assess and improve analytic methods. We begin with a