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 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 ...

However, experimental design choices and stochastic biological processes can heavily influence the results of TIS experiments and affect downstream statistical analysis.

Richard G. Jarrett, The Analysis of Designed Experiments with Missing Observations, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 27, No. 1 (1978), pp. 38-46 ...

This paper outlines a unified approach to analysis of variance and design of experiments in the orthogonal case, based on unambiguous mathematical definitions of elementary statistical concepts that ...

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

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 ...

Effective experimental design and analysis are critical to improving products and processes, reducing waste, lowering costs, and improving productivity. This how-to workshop focuses on understanding ...