Microarray experiments are widely used to quantify and compare gene expression on a large scale, it is therefore important that they are designed with care as aspects of their design will affect the ...
Shaping the digital future of chemistry demands a diverse and powerful toolkit. Among these, Statistical Design of Experiments (DOE), a proven method from the analogue era, remains a vital but ...
We develop statistical methods for designing and analyzing arm-in-cage experiments used to test the efficacy of insect repellents and other topical treatments. In these experiments, a controlled ...
Opportunities include enhancing process optimization through strategic DOE approaches, improving understanding of processes without relying heavily on statistical analysis, and ensuring effective ...
The focus of the upcoming release was the optimization of the software for even greater usability and reliability. The Unscrambler® X 10.2 builds on the software's existing strengths, such as data ...
This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...
In a two-level factorial experiment, we consider construction of parallel-flats designs with two identical parallel flats that allow estimation of a set of specified ...
The rise of experimental evaluations within organizations — or what economists refer to as field experiments — has the potential to transform organizational decision-making, providing fresh insight ...
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