Statistical experiment design principles for biological studies – Alec Zwart


“To consult the statistician after an experiment is finished is often merely to ask them to conduct a post mortem examination. They can perhaps say what the experiment died of.” ‐ Sir Ronald Aylmer Fisher, the father of modern statistics.

Statistical experimental design, accompanied by the appropriate statistical analyses, plays a crucial role in producing valid and precise inferences, and avoiding ‘design disasters’ in empirical science. I will quickly refresh some of the basic elements of experimental design in general, and discuss some key issues and examples that arise in the areas of genetics/genomics and high throughput data.

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