The earliest important papers on planned experiments in Biometrika appeared within a year of each other in 1917 and 1918. Roughly speaking, one was concerned with design optimality and industrial ...

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 ...

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 ...

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

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 ...

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, ...

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.

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 ...