Proper experimental design, involving the correct number of animals, should be a basic skill for any scientist working with animals. The authors describe a university-developed and freely ...

This course educates participants in the Lean Six Sigma method of Design of Experiments (DOE), which identifies factors most important to the success of an improvement project. This analytical ...

Course TopicsAcross 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 ...

The planning, conduct and analysis of scientific experiments, using examples from chemical, biological, genomic, and engineering sciences. Manipulation and visualisation of experimental data; ...

This course educates participants in the Lean Six Sigma method of Design of Experiments (DOE), which identifies factors most important to the success of an improvement project. This analytical ...

Citations: Karlan, Dean, Jinyong Hahn, Kei Hirano. 2011. Adaptive Design of Multiple Stage Experiments Using the Propensity Score. Journal of Business & Economic Statistics. (1)96-108.

Explores Fisher's contributions to experimental design and its economic implications, emphasizing the role of information in shaping modern methodologies.

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

This thesis develops design-based analysis methods for field experiments that take into account the design of the probability sample by which units are drawn from a finite population and the ...