DOE:Layout 1 14/1/10 19:54 Page 49
Assays
for the D and I optimal designs it generates for Figure 17
screening and optimisation, allowing you to see in
Stat-Ease 3D Design-Expert®
advance if your experimental budget gives you a
response surface showing
factors interacting
good chance of finding out what you need to
synergistically to produce
know. Through its extensive and powerful script-
maximum total signal from a
ing language, JMP also allows you to build cus- bioassay
tomised workflows that integrate its capabilities
into your environment (Figure 16).
Stat-Ease (www.statease.com) offers software,
training and consulting that make DOE easy for
assay developers. Our Design-Expert® software
provides test matrices for screening up to 50 fac-
tors. Built in to its design-building wizard is a
handy power calculator – a valuable tool for estab-
lishing the number of test runs needed. Graphical
effects analyses make it obvious which effects a Primer on Mixture Design that is a must for
stand out. Design-Expert then lays out a complete work on assay formulations (Figure 17).
analysis of variance (ANOVA) for establishing sta-
tistical significance. A broad array of graphical StatSoft’s STATISTICA (www.statsoft.com/products/
diagnostics reveals any abnormalities or outliers in statistica-design-of-experiments/) DOE module pro-
the data. Based on the validated predictive models, vides comprehensive design and analysis capabilities
a numerical optimiser pinpoints the most desirable for all standard fractional, response surface and mix-
combination of factors. The program then displays ture designs, as well as constrained surfaces, split
the ‘sweet spot’ where all requirements can be plots, Latin squares, Taguchi, D-, A- and T-optimal
achieved. This frames the design space for those designs and more. Handling unbalanced, incomplete
adhering to quality by design (QbD), as promoted and ‘botched’ designs, the analyses will automatically
by the FDA. The entire process of design, analysis determine estimable effects, report aliases and com-
and optimisation is catalysed via Design-Expert pute the parameter estimates for all non-redundant
software, which is backed by world-class experts effects. Users can manually toggle specific effects in
on DOE who stand ready to provide statistical sup- and out of the current model quickly and easily,
port. A great deal of valuable information on DOE observing the effect on the overall fit. A large number
is available free at the Stat-Ease website, including of output options are provided to review parameter
Figure 18
StatSoft’s STATISTICA DOE
module provides a host of
interactive graphical output
Drug Discovery World Winter 2009/10 49
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