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 ...

The course covers methods of design and construction of experiments and analysis of data obtained from them. Both theory and applications are covered in detail. Understand the basic principles of ...

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 ...

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 ...

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 ...

Interpersonal communication presents a methodological challenge and a research opportunity for researchers involved in field experiments. The challenge is that communication among subjects blurs the ...

Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020.

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Göttingen, May 5th, 2020 – Sartorius, a leading international supplier for the biopharmaceutical industry, today launched the new Incucyte SX5 Live-Cell Analysis System, the latest in the company’s ...