The Screen Design and Assay Technology SIG meeting at SLAS2014, January 22 in San Diego, featured a presentation by Wayne J. Levin of Predictum titled Design of Experiment Challenges & Opportunities. The slides and supplementary material are provided here.
2. use latest & greatest methods
Definitive Screening Designs
latest in computer-generated optimal designs
Split-plot designs
hard to change factors
definitive screening
more independence of effects
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Optimal Design -20 runs
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Definitive screening - 21 runs
Optimal Design
Definitive screening
Sacrifice some D-efficiency, but not much
Zero correlation among main
effects and 2-way interactions
Some correlation among main
effects and 2-way interactions
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3. split-plot designs
The concept of hard to
change is broader than you
might think.
!
Here multiple pipetting
constitutes hard to change
where materials are the same
across wells
it’s a multivariate universe
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Scenario
The tool is typical of HTS, in that there is limited
ways a chemical can be varied within a plate.
8. ACT
•what was learned,
that if proven valid,
can be implemented?
•new questions/
insights sought?
•what next?
STUDY
•what happened that
was expected?
•what did not happen
that was expected?
•what happened that
was not expected?
PLAN
•insights sought
(specify model: main
effects, interactions,
quadratics)
•responses & goals
(maximize, minimize,
match target)
•factors & levels
•identify difficult to
change factors
•constraints on factors
& levels
•design experiment
(evaluate properties)
•detail expectations
•operational
definitions of run
changes and response
measurement
•list all assumptions