Across all disciplines, the ability to test theories by experimentation is vital for validation and discovery. When designing an experiment, the researcher hopes to maximize the obtained information ...

Amid growing concerns about the poor design of animal experiments and its implications for the translatability of experimental results, Michael F. W. Festing thinks it's time we do something about it.

For researchers aiming to set up their experiments to enable a clean and easy analysis, diligent planning is vital for success. Careful experimental design facilitates maximal information gain from ...

Design of Experiments (DOE) is a methodology misunderstood by many, understood by some, and actively used by even fewer than that. Wherever it does get used, though, it has the ability to completely ...

On watching this video, students should be able to: Distinguish between an observational and experimental study. Explain the main reason why a randomised experiment can if done well, be used as a test ...

Why is this unit important? This unit will give students an introduction to data-intensive science, big data and machine learning, along with reviewing the statistical methods which underpin data ...

Tania Leimbach does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Quantum designers: Florian Marquardt (left) and Leopoldo Sarra have shown how deep Bayesian experimental design can be applied to quantum many-body systems. (Courtesy: Leopoldo Sarra) As quantum ...