Sound experimental design is of vital importance when conducting any scientific experiment. Choices made at the design stage have the potential to drastically impact the results of any study. A strong ...

How can you determine if a new process performs better than the original? How can you be confident that a new drug or vaccine will be safe and effective? How can you best determine which market(s) to ...

Modern analytical methods and production processes (manufacturing and research) are complex, with many different factors affecting the outcome. In order to be competitive, companies need to minimize ...

The on line course price includes the option to book a one hour FREE consultancy slot with Dr Paul Murray to discuss any specific designs. This consultancy slot will be carried out off line and must ...

This is a core course that provides essential grounding in statistical inference and modelling relating to science and food technology. Students will learn how to design, conduct, and analyse the ...

Anyone who has washed dishes can tell you that a lot of stuff clings to dirty plates, glasses, and silverware after a meal. And anyone who has developed an automatic dishwasher detergent to clean the ...

Bayesian experimental design is a tool for guiding experiments founded on the principle of expected information gain. I.e., which experiment design will inform the most about the model can be ...

Design of experiments enables engineers to demonstrate or understand a process while providing information required for achieving regulatory compliance. A valuable method for predicting process ...

The design of a two-color microarray experiment can be considered as having three layers. Figure 1 shows an example of an experiment that compares the effects of two treatments—A and B—on ...

The Defense Information System Agency's Joint Interoperability Test Command, or JITC, here recently orchestrated two activities as part of the collaborative partnership known as "Team Huachuca." JITC ...

Data collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, they are ...