1-5 July/August 2021

Factorial design and analysis

In this course, realistic research cases form the starting point for which we will try to find practical solutions. We will tackle research questions by designing tailor-made factorial experiments within the budget and lab constraints. Power analysis will be key to achieve this goal. Finally, we will analyse the expected output in a statistical sound manner, interpret the results and propose presentations.

Everything will be very practical and hands-on. Design and analysis happen in R, with R code being made available. After attending this course, you will be able to reason about you experiment and come up with a design and analysis that fits your situations best, rather than to settle for a suboptimal textbook solution.